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class="suggested-user-card__user-info__subheader ds2-5-body-xs">Universidade Federal do Rio Grande do Sul</p></div></div><div class="suggested-user-card"><div class="suggested-user-card__avatar social-profile-avatar-container"><a data-nosnippet="" href="https://swansea.academia.edu/KevinArbuckle"><img class="profile-avatar u-positionAbsolute" alt="Kevin Arbuckle related author profile picture" border="0" onerror="if (this.src != '//a.academia-assets.com/images/s200_no_pic.png') this.src = '//a.academia-assets.com/images/s200_no_pic.png';" width="200" height="200" src="https://0.academia-photos.com/191329/90380/6936137/s200_kevin.arbuckle.jpg" /></a></div><div class="suggested-user-card__user-info"><a class="suggested-user-card__user-info__header ds2-5-body-sm-bold ds2-5-body-link" href="https://swansea.academia.edu/KevinArbuckle">Kevin Arbuckle</a><p class="suggested-user-card__user-info__subheader ds2-5-body-xs">Swansea University</p></div></div></ul></div><style type="text/css">.suggested-academics--header h3{font-size:16px;font-weight:500;line-height:20px}</style><div class="external-links-container"><ul class="profile-links new-profile js-UserInfo-social"><li class="profile-profiles js-social-profiles-container"><i class="fa fa-spin fa-spinner"></i></li></ul></div></div></div><div class="right-panel-container"><div class="user-content-wrapper"><div class="uploads-container" id="social-redesign-work-container"><div class="upload-header"><h2 class="ds2-5-heading-sans-serif-xs">Uploads</h2></div><div class="documents-container backbone-social-profile-documents" style="width: 100%;"><div class="u-taCenter"></div><div class="profile--tab_content_container js-tab-pane tab-pane active" id="all"><div class="profile--tab_heading_container js-section-heading" data-section="Papers" id="Papers"><h3 class="profile--tab_heading_container">Papers by Petr Kroha</h3></div><div class="js-work-strip profile--work_container" data-work-id="111472634"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/111472634/Quality_Measurement_of_Functional_Requirements"><img alt="Research paper thumbnail of Quality Measurement of Functional Requirements" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title">Quality Measurement of Functional Requirements</div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="111472634"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="111472634"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 111472634; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=111472634]").text(description); $(".js-view-count[data-work-id=111472634]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 111472634; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='111472634']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=111472634]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":111472634,"title":"Quality Measurement of Functional 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src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title">Expanding Normalized Systems from textual domain descriptions using TEMOS</div><div class="wp-workCard_item"><span>Journal of Intelligent Information Systems</span><span>, May 10, 2022</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="111472631"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="111472631"><i class="fa fa-spinner 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data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/111472607/Recovering_Traceability_Links_Between_Code_and_Specification_Through_Domain_Model_Extraction"><img alt="Research paper thumbnail of Recovering Traceability Links Between Code and Specification Through Domain Model Extraction" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title">Recovering Traceability Links Between Code and Specification Through Domain Model Extraction</div><div class="wp-workCard_item"><span>Lecture notes in business information processing</span><span>, 2014</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">ABSTRACT Requirements traceability is an extremely important aspect of software development and e...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">ABSTRACT Requirements traceability is an extremely important aspect of software development and especially of maintenance. Efficient maintaining of traceability links between high-level requirements specification and low-level implementation is hindered by many problems. In this paper, we propose a method for automated recovery of links between parts of the textual requirement specification and the source code of implementation. The described method is based on a method allowing extraction of a prototype domain model from plain text requirements specification. The proposed method is evaluated on two non-trivial examples. The performed experiments show that our method is able to link requirements with source code with the accuracy of F-1 = 58 - 61 %.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="111472607"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="111472607"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 111472607; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=111472607]").text(description); $(".js-view-count[data-work-id=111472607]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 111472607; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='111472607']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=111472607]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":111472607,"title":"Recovering Traceability Links Between Code and Specification Through Domain Model Extraction","translated_title":"","metadata":{"abstract":"ABSTRACT Requirements traceability is an extremely important aspect of software development and especially of maintenance. 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The performed experiments show that our method is able to link requirements with source code with the accuracy of F-1 = 58 - 61 %.","internal_url":"https://www.academia.edu/111472607/Recovering_Traceability_Links_Between_Code_and_Specification_Through_Domain_Model_Extraction","translated_internal_url":"","created_at":"2023-12-15T01:48:56.170-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":86983740,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Recovering_Traceability_Links_Between_Code_and_Specification_Through_Domain_Model_Extraction","translated_slug":"","page_count":null,"language":"en","content_type":"Work","summary":"ABSTRACT Requirements traceability is an extremely important aspect of software development and especially of maintenance. Efficient maintaining of traceability links between high-level requirements specification and low-level implementation is hindered by many problems. In this paper, we propose a method for automated recovery of links between parts of the textual requirement specification and the source code of implementation. The described method is based on a method allowing extraction of a prototype domain model from plain text requirements specification. The proposed method is evaluated on two non-trivial examples. 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It is based on a EUrent case that is used for Normalized Systems trainings and tutorials for several years in NSX (<a href="https://normalizedsystems.org" rel="nofollow">https://normalizedsystems.org</a>). We compare the original reference model and the generated one from the textual description.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="95247940"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="95247940"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 95247940; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=95247940]").text(description); $(".js-view-count[data-work-id=95247940]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 95247940; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='95247940']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=95247940]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":95247940,"title":"EUrent Case Study for Expanding Normalized Systems from Textual Domain Description using TEMOS","translated_title":"","metadata":{"abstract":"This is the case study for evaluating the approach on using NLP methods on textual functional requirements to generate Normalized Systems models. 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November 2006 in Chemnitz" class="work-thumbnail" src="https://attachments.academia-assets.com/97481876/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/95247939/FG_SRE_Bericht_und_Beitr%C3%A4ge_vom_Workshop_Reengineering_Prozesse_RePro_2006_am_23_und_24_November_2006_in_Chemnitz">FG SRE: Bericht und Beiträge vom Workshop Reengineering Prozesse (RePro 2006) am 23. und 24. November 2006 in Chemnitz</a></div><div class="wp-workCard_item"><span>Softwaretechnik-Trends</span><span>, 2007</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Der vorliegende Tagungsband umfasst die Kurzfassungen der Beiträge des Workshops &quot;Software M...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Der vorliegende Tagungsband umfasst die Kurzfassungen der Beiträge des Workshops &quot;Software Migration&quot; und die Kurzbeschreibungen der ausgestellen Software-Werkzeuge zur Unterstützung der Software Migration. Auf die Folienpräsentationen zu den einzelnen Beiträgen kann über</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="60f3428147545612e2250940ff1c3fb1" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":97481876,"asset_id":95247939,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/97481876/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="95247939"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="95247939"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 95247939; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=95247939]").text(description); $(".js-view-count[data-work-id=95247939]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 95247939; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='95247939']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "60f3428147545612e2250940ff1c3fb1" } } $('.js-work-strip[data-work-id=95247939]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":95247939,"title":"FG SRE: Bericht und Beiträge vom Workshop Reengineering Prozesse (RePro 2006) am 23. und 24. 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Die Koordinierung und Bündelung entsprechender Forschungsarbeiten in der Profillinie 6 “Modellierung, Simulation, Hochleistungsrechnen” wird es ermöglichen, im internationalen Wettbewerb des Wissens mitzuhalten.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="95247898"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="95247898"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 95247898; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=95247898]").text(description); $(".js-view-count[data-work-id=95247898]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 95247898; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='95247898']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=95247898]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":95247898,"title":"Profillinie 6: Modellierung, Simulation, Hochleistungsrechnen","translated_title":"","metadata":{"abstract":"An der TU Chemnitz haben sich seit über zwei Jahrzehnten die Gebiete der rechnergestützten Wissenschaften (Computational Science) sowie des parallelen und verteilten Hochleistungsrechnens mit zunehmender Verzahnung entwickelt. Die Koordinierung und Bündelung entsprechender Forschungsarbeiten in der Profillinie 6 “Modellierung, Simulation, Hochleistungsrechnen” wird es ermöglichen, im internationalen Wettbewerb des Wissens mitzuhalten."},"translated_abstract":"An der TU Chemnitz haben sich seit über zwei Jahrzehnten die Gebiete der rechnergestützten Wissenschaften (Computational Science) sowie des parallelen und verteilten Hochleistungsrechnens mit zunehmender Verzahnung entwickelt. Die Koordinierung und Bündelung entsprechender Forschungsarbeiten in der Profillinie 6 “Modellierung, Simulation, Hochleistungsrechnen” wird es ermöglichen, im internationalen Wettbewerb des Wissens mitzuhalten.","internal_url":"https://www.academia.edu/95247898/Profillinie_6_Modellierung_Simulation_Hochleistungsrechnen","translated_internal_url":"","created_at":"2023-01-18T10:57:54.264-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":86983740,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Profillinie_6_Modellierung_Simulation_Hochleistungsrechnen","translated_slug":"","page_count":null,"language":"de","content_type":"Work","summary":"An der TU Chemnitz haben sich seit über zwei Jahrzehnten die Gebiete der rechnergestützten Wissenschaften (Computational Science) sowie des parallelen und verteilten Hochleistungsrechnens mit zunehmender Verzahnung entwickelt. Die Koordinierung und Bündelung entsprechender Forschungsarbeiten in der Profillinie 6 “Modellierung, Simulation, Hochleistungsrechnen” wird es ermöglichen, im internationalen Wettbewerb des Wissens mitzuhalten.","impression_tracking_id":null,"owner":{"id":86983740,"first_name":"Petr","middle_initials":null,"last_name":"Kroha","page_name":"PKroha","domain_name":"cvut","created_at":"2018-07-10T09:15:12.526-07:00","display_name":"Petr Kroha","url":"https://cvut.academia.edu/PKroha"},"attachments":[],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science"},{"id":48636,"name":"Simulation","url":"https://www.academia.edu/Documents/in/Simulation"},{"id":207571,"name":"Linux Cluster","url":"https://www.academia.edu/Documents/in/Linux_Cluster"},{"id":515169,"name":"DDC","url":"https://www.academia.edu/Documents/in/DDC"},{"id":587115,"name":"Arbeitsmarkt","url":"https://www.academia.edu/Documents/in/Arbeitsmarkt"},{"id":624594,"name":"Profil","url":"https://www.academia.edu/Documents/in/Profil"},{"id":1761732,"name":"Modellierung","url":"https://www.academia.edu/Documents/in/Modellierung"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") if (false) { Aedu.setUpFigureCarousel('profile-work-95247898-figures'); } }); </script> <div class="js-work-strip profile--work_container" data-work-id="85499565"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/85499565/Problem_of_Semantic_Enrichment_of_Sentences_Used_in_Textual_Requirements_Specification"><img alt="Research paper thumbnail of Problem of Semantic Enrichment of Sentences Used in Textual Requirements Specification" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title">Problem of Semantic Enrichment of Sentences Used in Textual Requirements Specification</div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="85499565"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="85499565"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 85499565; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=85499565]").text(description); $(".js-view-count[data-work-id=85499565]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 85499565; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='85499565']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") if (false) { Aedu.setUpFigureCarousel('profile-work-85499565-figures'); } }); </script> <div class="js-work-strip profile--work_container" data-work-id="85499516"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/85499516/Hurst_Exponent_and_Trading_Signals_Derived_from_Market_Time_Series"><img alt="Research paper thumbnail of Hurst Exponent and Trading Signals Derived from Market Time Series" class="work-thumbnail" src="https://attachments.academia-assets.com/90179718/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/85499516/Hurst_Exponent_and_Trading_Signals_Derived_from_Market_Time_Series">Hurst Exponent and Trading Signals Derived from Market Time Series</a></div><div class="wp-workCard_item"><span>Proceedings of the 20th International Conference on Enterprise Information Systems</span><span>, 2018</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In this contribution, we investigate whether it is possible to use chaotic properties of time ser...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In this contribution, we investigate whether it is possible to use chaotic properties of time series in forecasting. Time series of market data have components of white noise without any trend, and they have components of brown noise containing trends. We constructed a new technical indicator MH (Moving Hurst) based on Hurst exponent that describes chaotic properties of time series. Further, we stated and proved a hypothesis that this indicator can bring more profit than the very well known indicator MACD (Moving Averages Convergence Divergence) that is based on moving averages of time series values. In our experiments, we tested and evaluated our proposal using hypothesis testing. We argue that Hurst exponent can be used as an indicator of technical analysis under considerations discussed in our paper.</span></div><div class="wp-workCard_item"><div class="carousel-container carousel-container--sm" id="profile-work-85499516-figures"><div class="prev-slide-container js-prev-button-container"><button aria-label="Previous" class="carousel-navigation-button js-profile-work-85499516-figures-prev"><span class="material-symbols-outlined" style="font-size: 24px" translate="no">arrow_back_ios</span></button></div><div class="slides-container js-slides-container"><figure class="figure-slide-container"><a href="https://www.academia.edu/figures/38418487/figure-1-hurst-exponent-and-trading-signals-derived-from"><img alt="" class="figure-slide-image" src="https://figures.academia-assets.com/90179718/figure_001.jpg" /></a></figure></div><div class="next-slide-container js-next-button-container"><button aria-label="Next" class="carousel-navigation-button js-profile-work-85499516-figures-next"><span class="material-symbols-outlined" style="font-size: 24px" translate="no">arrow_forward_ios</span></button></div></div></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="e843ef6589292c387b007339c1145a20" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":90179718,"asset_id":85499516,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/90179718/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="85499516"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="85499516"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 85499516; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=85499516]").text(description); $(".js-view-count[data-work-id=85499516]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 85499516; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='85499516']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "e843ef6589292c387b007339c1145a20" } } $('.js-work-strip[data-work-id=85499516]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":85499516,"title":"Hurst Exponent and Trading Signals Derived from Market Time Series","translated_title":"","metadata":{"publisher":"SCITEPRESS - Science and Technology Publications","ai_title_tag":"Hurst Exponent: A New Trading Signal Indicator","grobid_abstract":"In this contribution, we investigate whether it is possible to use chaotic properties of time series in forecasting. 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Semantic processing considers context...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">the complexity of understanding and processing information. Semantic processing considers contextual dependencies and adds to the individually acquired knowledge emergent properties and understanding. Hardware and software support and platforms were developed for semantically enhanced information retrieval and interpretation. Searching for video, voice and speech [VVS] raises additional problems to specialized engines with respect to text search. Contextual searching and special patterns-based techniques are current solutions. With the progress on ontology, web services, semantic social media, semantic web, deep web search /deep semantic web/, semantic deep web, semantic networking and semantic reasoning, SEMAPRO 2010 constituted the stage for the state-of-the-art on the most recent advances. We take here the opportunity to warmly thank all the members of the SEMAPRO 2010 technical program committee as well as the numerous reviewers. The creation of such a broad and high quality con...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="a154fc1e71dae2024e0d42d38e0966d4" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":88045709,"asset_id":82289158,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/88045709/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="82289158"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="82289158"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 82289158; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=82289158]").text(description); $(".js-view-count[data-work-id=82289158]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 82289158; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='82289158']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "a154fc1e71dae2024e0d42d38e0966d4" } } $('.js-work-strip[data-work-id=82289158]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":82289158,"title":"SEMAPRO 2010 Committee SEMAPRO Advisory Chairs SEMAPRO 2010 Industry Liaison Chairs","translated_title":"","metadata":{"abstract":"the complexity of understanding and processing information. 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The creation of such a broad and high quality con..."},"translated_abstract":"the complexity of understanding and processing information. Semantic processing considers contextual dependencies and adds to the individually acquired knowledge emergent properties and understanding. Hardware and software support and platforms were developed for semantically enhanced information retrieval and interpretation. Searching for video, voice and speech [VVS] raises additional problems to specialized engines with respect to text search. Contextual searching and special patterns-based techniques are current solutions. With the progress on ontology, web services, semantic social media, semantic web, deep web search /deep semantic web/, semantic deep web, semantic networking and semantic reasoning, SEMAPRO 2010 constituted the stage for the state-of-the-art on the most recent advances. We take here the opportunity to warmly thank all the members of the SEMAPRO 2010 technical program committee as well as the numerous reviewers. 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In this contribution...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">For investment decisions the development of market trends is very important. In this contribution we present our results concerning the influence of news on market trends. We processed the stock news delivered by the Wall Street Journal with two methods of text mining – Bayes classification and grammar-driven classification. We found some potentialities of Dow Jones trend prediction and present promising results.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="77645880"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="77645880"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 77645880; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=77645880]").text(description); $(".js-view-count[data-work-id=77645880]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 77645880; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='77645880']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=77645880]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":77645880,"title":"Text Mining for Indication of Changes in Long-Term Market Trends","translated_title":"","metadata":{"abstract":"For investment decisions the development of market trends is very important. In this contribution we present our results concerning the influence of news on market trends. We processed the stock news delivered by the Wall Street Journal with two methods of text mining – Bayes classification and grammar-driven classification. We found some potentialities of Dow Jones trend prediction and present promising results.","publication_date":{"day":null,"month":null,"year":2008,"errors":{}}},"translated_abstract":"For investment decisions the development of market trends is very important. In this contribution we present our results concerning the influence of news on market trends. We processed the stock news delivered by the Wall Street Journal with two methods of text mining – Bayes classification and grammar-driven classification. 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We found some potentialities of Dow Jones trend prediction and present promising results.","impression_tracking_id":null,"owner":{"id":86983740,"first_name":"Petr","middle_initials":null,"last_name":"Kroha","page_name":"PKroha","domain_name":"cvut","created_at":"2018-07-10T09:15:12.526-07:00","display_name":"Petr Kroha","url":"https://cvut.academia.edu/PKroha"},"attachments":[],"research_interests":[{"id":5639,"name":"Text Mining","url":"https://www.academia.edu/Documents/in/Text_Mining"},{"id":14493,"name":"Parsing","url":"https://www.academia.edu/Documents/in/Parsing"},{"id":106145,"name":"Classification","url":"https://www.academia.edu/Documents/in/Classification"},{"id":129770,"name":"Key words","url":"https://www.academia.edu/Documents/in/Key_words"},{"id":1185612,"name":"H","url":"https://www.academia.edu/Documents/in/H"}],"urls":[{"id":19921314,"url":"http://i-know.tugraz.at/wp-content/uploads/2008/11/51_text-mining-for-indication-of-changes-in-long-term-market-trends.pdf"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") if (false) { Aedu.setUpFigureCarousel('profile-work-77645880-figures'); } }); </script> <div class="js-work-strip profile--work_container" data-work-id="77645879"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/77645879/Patterns_in_Textual_Requirements_Specification"><img alt="Research paper thumbnail of Patterns in Textual Requirements Specification" class="work-thumbnail" src="https://attachments.academia-assets.com/84959443/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/77645879/Patterns_in_Textual_Requirements_Specification">Patterns in Textual Requirements Specification</a></div><div class="wp-workCard_item"><span>Proceedings of the 13th International Conference on Software Technologies</span><span>, 2018</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In this paper, we investigate methods of grammatical inspection to identify patterns in textual r...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In this paper, we investigate methods of grammatical inspection to identify patterns in textual requirements specification. Unfortunately, a text in natural language includes additionally many inaccuracies caused by ambiguity, inconsistency, and incompleteness. Our contribution is that using our patterns, we are able to extract the information from the text that is necessary to fix some of the problems mentioned above. We present our implemented tool TEMOS that is able to detect some inaccuracies in a text and to generate fragments of the UML class model from textual requirements specification. We use external on-line resources to complete the textual information of requirements.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="b1b6342e5baa5b6efda1d4a48e3796e9" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":84959443,"asset_id":77645879,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/84959443/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="77645879"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="77645879"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 77645879; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=77645879]").text(description); $(".js-view-count[data-work-id=77645879]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 77645879; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='77645879']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "b1b6342e5baa5b6efda1d4a48e3796e9" } } $('.js-work-strip[data-work-id=77645879]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":77645879,"title":"Patterns in Textual Requirements Specification","translated_title":"","metadata":{"publisher":"SCITEPRESS - Science and Technology Publications","ai_title_tag":"Grammatical Patterns in Requirements Text","grobid_abstract":"In this paper, we investigate methods of grammatical inspection to identify patterns in textual requirements specification. 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Examples include requirement specifications, design documents, manual pages, system development journals, error logs, and related maintenance reports. We propose a method based on information retrieval to recover traceability links between source code and free text documents. A premise of our work is that programmers use meaningful names for program items, such as functions, variables, types, classes, and methods. We believe that the application-domain knowledge that programmers process when writing the code is often captured by the mnemonics for identifiers; therefore, the analysis of these mnemonics can help to associate high-level concepts with program concepts and vice-versa. We apply both a probabilistic and a vector space information retrieval model in two case studies to trace C++ source code onto manual pages and Java code to functional requirements. We compare the results of applying the two models, discuss the benefits and limitations, and describe directions for improvements.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="0985549c0fda57e51f90ef6d35523026" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":84959432,"asset_id":77645856,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/84959432/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="77645856"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="77645856"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 77645856; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=77645856]").text(description); $(".js-view-count[data-work-id=77645856]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 77645856; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='77645856']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "0985549c0fda57e51f90ef6d35523026" } } $('.js-work-strip[data-work-id=77645856]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":77645856,"title":"Recovering traceability links between code and documentation","translated_title":"","metadata":{"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","grobid_abstract":"Software system documentation is almost always expressed informally in natural language and free text. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") if (false) { Aedu.setUpFigureCarousel('profile-work-77645856-figures'); } }); </script> <div class="js-work-strip profile--work_container" data-work-id="71921618"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/71921618/Performance_Comparison_of_Distributed_Object_Server_Implementation"><img alt="Research paper thumbnail of Performance Comparison of Distributed Object Server Implementation" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title">Performance Comparison of Distributed Object Server Implementation</div><div class="wp-workCard_item"><span>International Conference on Information System Implementation and Modeling</span><span>, 2007</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="71921618"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="71921618"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 71921618; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") if (false) { Aedu.setUpFigureCarousel('profile-work-71921618-figures'); } }); </script> <div class="js-work-strip profile--work_container" data-work-id="71921616"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/71921616/ADA_Embracing_Technology_Change_Acceleration"><img alt="Research paper thumbnail of ADA: Embracing Technology Change Acceleration" class="work-thumbnail" src="https://attachments.academia-assets.com/81067521/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/71921616/ADA_Embracing_Technology_Change_Acceleration">ADA: Embracing Technology Change Acceleration</a></div><div class="wp-workCard_item"><span>Enterprise Engineering Working Conference</span><span>, 2019</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The pace of technology change has accelerated in the past decade. Conceptually similar technologi...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The pace of technology change has accelerated in the past decade. Conceptually similar technologies are introduced on nearly a daily basis. On one hand, IT experts call for applying the most modern approaches and technologies to software projects, on the other, companies suffer from liabilities to a technology used in their legacy solutions. This seems to result in a disturbing situation when a specific technology of an ongoing software project becomes legacy almost before the project successfully hits a production. This poses a continual challenge for software development, and effective ways of technology transition are sought. Affordance-Driven Assembling (ADA) represents such an effort from the standpoint of enterprise engineering theories. In this paper, we formulate a high-level architecture of a software system based on ADA. We demonstrate the architecture on an example of an object-oriented system. We evaluate the qualities of such architecture from the perspective of evolvability using Normalized Systems Theory, and we formulate conclusions on potential of this approach.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="14fa393742de2d6e942ef9f9484b9204" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":81067521,"asset_id":71921616,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/81067521/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="71921616"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="71921616"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 71921616; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=71921616]").text(description); $(".js-view-count[data-work-id=71921616]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 71921616; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='71921616']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "14fa393742de2d6e942ef9f9484b9204" } } $('.js-work-strip[data-work-id=71921616]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":71921616,"title":"ADA: Embracing Technology Change Acceleration","translated_title":"","metadata":{"ai_title_tag":"Accelerating Tech Change in Software Systems","grobid_abstract":"The pace of technology change has accelerated in the past decade. 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First, we implemented and tested a fuzzy component that provides fuzzyfication by the Mamdani Larsen inference method with static rules using not only Gauss but also Cauchy and Mandelbrot distribution. Second, we implemented and tested a fractal component that provides fuzzy clustering by the Takagi Sugeno method with dynamic fuzzy rules. Looking for an optimum, we simulated many parameter combinations and compared the results. We present some interesting results of our experiments.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="05fa94a5c5e1f412ab2eeb7538e72215" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":81067523,"asset_id":71921615,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/81067523/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="71921615"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="71921615"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 71921615; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=71921615]").text(description); $(".js-view-count[data-work-id=71921615]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 71921615; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='71921615']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "05fa94a5c5e1f412ab2eeb7538e72215" } } $('.js-work-strip[data-work-id=71921615]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":71921615,"title":"Using Fuzzy and Fractal Methods for Analyzing Market Time Series","translated_title":"","metadata":{"grobid_abstract":"In this contribution, we investigate the possibilities of using fuzzy and fractal methods for analyzing time series of market data. 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Because the set of test cases is usually very large, some methods of automation may be used to run them. Usually, test cases run on the same machine where the tested software system should run later. In our case, we run the test cases of a software system for a sequential computer on a cluster in parallel. The goal is to accelerate the process of running and evaluating tests. In this paper we describe the architecture of our test execution tool, experiments, and obtained results concerning performance and efficiency of test automation of sequential programs in a cluster environment.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="f63b70fd539d16819080942cbeff9ca7" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":81067522,"asset_id":71921614,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/81067522/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="71921614"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="71921614"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 71921614; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=71921614]").text(description); $(".js-view-count[data-work-id=71921614]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 71921614; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='71921614']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "f63b70fd539d16819080942cbeff9ca7" } } $('.js-work-strip[data-work-id=71921614]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":71921614,"title":"Case Study: Running Test Cases for Sequential Programs in Parallel in a Cluster Environment","translated_title":"","metadata":{"ai_title_tag":"Parallel Testing for Sequential Programs in Clusters","grobid_abstract":"Testing a software system consists of a test case construction and of running and evaluating them, i.e. comparing expected results with obtained results. 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Chemnitzer Informatik-Berichte CSR-08-02, ISSN 0947-5125" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title">Using Semantic Web Technology in Requirements Specifications. Chemnitzer Informatik-Berichte CSR-08-02, ISSN 0947-5125</div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">1.2 Ontology as a Tool for Checking Requirements................. 8</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="71921612"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="71921612"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 71921612; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=71921612]").text(description); $(".js-view-count[data-work-id=71921612]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 71921612; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='71921612']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=71921612]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":71921612,"title":"Using Semantic Web Technology in Requirements Specifications. Chemnitzer Informatik-Berichte CSR-08-02, ISSN 0947-5125","translated_title":"","metadata":{"abstract":"1.2 Ontology as a Tool for Checking Requirements................. 8","publication_date":{"day":null,"month":null,"year":2008,"errors":{}}},"translated_abstract":"1.2 Ontology as a Tool for Checking Requirements................. 8","internal_url":"https://www.academia.edu/71921612/Using_Semantic_Web_Technology_in_Requirements_Specifications_Chemnitzer_Informatik_Berichte_CSR_08_02_ISSN_0947_5125","translated_internal_url":"","created_at":"2022-02-20T00:47:39.069-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":86983740,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[],"slug":"Using_Semantic_Web_Technology_in_Requirements_Specifications_Chemnitzer_Informatik_Berichte_CSR_08_02_ISSN_0947_5125","translated_slug":"","page_count":null,"language":"en","content_type":"Work","summary":"1.2 Ontology as a Tool for Checking Requirements................. 8","impression_tracking_id":null,"owner":{"id":86983740,"first_name":"Petr","middle_initials":null,"last_name":"Kroha","page_name":"PKroha","domain_name":"cvut","created_at":"2018-07-10T09:15:12.526-07:00","display_name":"Petr Kroha","url":"https://cvut.academia.edu/PKroha"},"attachments":[],"research_interests":[],"urls":[{"id":17829863,"url":"http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.418.2474\u0026rep=rep1\u0026type=pdf"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") if (false) { Aedu.setUpFigureCarousel('profile-work-71921612-figures'); } }); </script> <div class="js-work-strip profile--work_container" data-work-id="71921610"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/71921610/Patterns_of_Ambiguity_in_Textual_Requirements_Specification"><img alt="Research paper thumbnail of Patterns of Ambiguity in Textual Requirements Specification" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title">Patterns of Ambiguity in Textual Requirements Specification</div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In this contribution, we investigate the ambiguity problem in textual requirements specifications...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In this contribution, we investigate the ambiguity problem in textual requirements specifications. We focused on the structural ambiguity and extracted some patterns to indicate this kind of ambiguity. We show that the standard methods of linguistics are not enough in some cases, and we describe a class of ambiguity caused by coreference that needs an underlying domain model or a knowledge base to be solved. 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Efficient maintaining of traceability links between high-level requirements specification and low-level implementation is hindered by many problems. In this paper, we propose a method for automated recovery of links between parts of the textual requirement specification and the source code of implementation. The described method is based on a method allowing extraction of a prototype domain model from plain text requirements specification. The proposed method is evaluated on two non-trivial examples. 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It is based on a EUrent case that is used for Normalized Systems trainings and tutorials for several years in NSX (<a href="https://normalizedsystems.org" rel="nofollow">https://normalizedsystems.org</a>). 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November 2006 in Chemnitz</a></div><div class="wp-workCard_item"><span>Softwaretechnik-Trends</span><span>, 2007</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Der vorliegende Tagungsband umfasst die Kurzfassungen der Beiträge des Workshops &quot;Software M...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Der vorliegende Tagungsband umfasst die Kurzfassungen der Beiträge des Workshops &quot;Software Migration&quot; und die Kurzbeschreibungen der ausgestellen Software-Werkzeuge zur Unterstützung der Software Migration. Auf die Folienpräsentationen zu den einzelnen Beiträgen kann über</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="60f3428147545612e2250940ff1c3fb1" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":97481876,"asset_id":95247939,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/97481876/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="95247939"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="95247939"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 95247939; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=95247939]").text(description); $(".js-view-count[data-work-id=95247939]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 95247939; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='95247939']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "60f3428147545612e2250940ff1c3fb1" } } $('.js-work-strip[data-work-id=95247939]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":95247939,"title":"FG SRE: Bericht und Beiträge vom Workshop Reengineering Prozesse (RePro 2006) am 23. und 24. 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Die Koordinierung und Bündelung entsprechender Forschungsarbeiten in der Profillinie 6 “Modellierung, Simulation, Hochleistungsrechnen” wird es ermöglichen, im internationalen Wettbewerb des Wissens mitzuhalten.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="95247898"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="95247898"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 95247898; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=95247898]").text(description); $(".js-view-count[data-work-id=95247898]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 95247898; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='95247898']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=95247898]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":95247898,"title":"Profillinie 6: Modellierung, Simulation, Hochleistungsrechnen","translated_title":"","metadata":{"abstract":"An der TU Chemnitz haben sich seit über zwei Jahrzehnten die Gebiete der rechnergestützten Wissenschaften (Computational Science) sowie des parallelen und verteilten Hochleistungsrechnens mit zunehmender Verzahnung entwickelt. Die Koordinierung und Bündelung entsprechender Forschungsarbeiten in der Profillinie 6 “Modellierung, Simulation, Hochleistungsrechnen” wird es ermöglichen, im internationalen Wettbewerb des Wissens mitzuhalten."},"translated_abstract":"An der TU Chemnitz haben sich seit über zwei Jahrzehnten die Gebiete der rechnergestützten Wissenschaften (Computational Science) sowie des parallelen und verteilten Hochleistungsrechnens mit zunehmender Verzahnung entwickelt. 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Die Koordinierung und Bündelung entsprechender Forschungsarbeiten in der Profillinie 6 “Modellierung, Simulation, Hochleistungsrechnen” wird es ermöglichen, im internationalen Wettbewerb des Wissens mitzuhalten.","impression_tracking_id":null,"owner":{"id":86983740,"first_name":"Petr","middle_initials":null,"last_name":"Kroha","page_name":"PKroha","domain_name":"cvut","created_at":"2018-07-10T09:15:12.526-07:00","display_name":"Petr Kroha","url":"https://cvut.academia.edu/PKroha"},"attachments":[],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science"},{"id":48636,"name":"Simulation","url":"https://www.academia.edu/Documents/in/Simulation"},{"id":207571,"name":"Linux Cluster","url":"https://www.academia.edu/Documents/in/Linux_Cluster"},{"id":515169,"name":"DDC","url":"https://www.academia.edu/Documents/in/DDC"},{"id":587115,"name":"Arbeitsmarkt","url":"https://www.academia.edu/Documents/in/Arbeitsmarkt"},{"id":624594,"name":"Profil","url":"https://www.academia.edu/Documents/in/Profil"},{"id":1761732,"name":"Modellierung","url":"https://www.academia.edu/Documents/in/Modellierung"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") if (false) { Aedu.setUpFigureCarousel('profile-work-95247898-figures'); } }); </script> <div class="js-work-strip profile--work_container" data-work-id="85499565"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/85499565/Problem_of_Semantic_Enrichment_of_Sentences_Used_in_Textual_Requirements_Specification"><img alt="Research paper thumbnail of Problem of Semantic Enrichment of Sentences Used in Textual Requirements Specification" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title">Problem of Semantic Enrichment of Sentences Used in Textual Requirements Specification</div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="85499565"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="85499565"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 85499565; 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") if (false) { Aedu.setUpFigureCarousel('profile-work-85499565-figures'); } }); </script> <div class="js-work-strip profile--work_container" data-work-id="85499516"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/85499516/Hurst_Exponent_and_Trading_Signals_Derived_from_Market_Time_Series"><img alt="Research paper thumbnail of Hurst Exponent and Trading Signals Derived from Market Time Series" class="work-thumbnail" src="https://attachments.academia-assets.com/90179718/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/85499516/Hurst_Exponent_and_Trading_Signals_Derived_from_Market_Time_Series">Hurst Exponent and Trading Signals Derived from Market Time Series</a></div><div class="wp-workCard_item"><span>Proceedings of the 20th International Conference on Enterprise Information Systems</span><span>, 2018</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In this contribution, we investigate whether it is possible to use chaotic properties of time ser...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In this contribution, we investigate whether it is possible to use chaotic properties of time series in forecasting. Time series of market data have components of white noise without any trend, and they have components of brown noise containing trends. We constructed a new technical indicator MH (Moving Hurst) based on Hurst exponent that describes chaotic properties of time series. Further, we stated and proved a hypothesis that this indicator can bring more profit than the very well known indicator MACD (Moving Averages Convergence Divergence) that is based on moving averages of time series values. In our experiments, we tested and evaluated our proposal using hypothesis testing. We argue that Hurst exponent can be used as an indicator of technical analysis under considerations discussed in our paper.</span></div><div class="wp-workCard_item"><div class="carousel-container carousel-container--sm" id="profile-work-85499516-figures"><div class="prev-slide-container js-prev-button-container"><button aria-label="Previous" class="carousel-navigation-button js-profile-work-85499516-figures-prev"><span class="material-symbols-outlined" style="font-size: 24px" translate="no">arrow_back_ios</span></button></div><div class="slides-container js-slides-container"><figure class="figure-slide-container"><a href="https://www.academia.edu/figures/38418487/figure-1-hurst-exponent-and-trading-signals-derived-from"><img alt="" class="figure-slide-image" src="https://figures.academia-assets.com/90179718/figure_001.jpg" /></a></figure></div><div class="next-slide-container js-next-button-container"><button aria-label="Next" class="carousel-navigation-button js-profile-work-85499516-figures-next"><span class="material-symbols-outlined" style="font-size: 24px" translate="no">arrow_forward_ios</span></button></div></div></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="e843ef6589292c387b007339c1145a20" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":90179718,"asset_id":85499516,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/90179718/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="85499516"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="85499516"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 85499516; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=85499516]").text(description); $(".js-view-count[data-work-id=85499516]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 85499516; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='85499516']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "e843ef6589292c387b007339c1145a20" } } $('.js-work-strip[data-work-id=85499516]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":85499516,"title":"Hurst Exponent and Trading Signals Derived from Market Time Series","translated_title":"","metadata":{"publisher":"SCITEPRESS - Science and Technology Publications","ai_title_tag":"Hurst Exponent: A New Trading Signal Indicator","grobid_abstract":"In this contribution, we investigate whether it is possible to use chaotic properties of time series in forecasting. 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Semantic processing considers context...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">the complexity of understanding and processing information. Semantic processing considers contextual dependencies and adds to the individually acquired knowledge emergent properties and understanding. Hardware and software support and platforms were developed for semantically enhanced information retrieval and interpretation. Searching for video, voice and speech [VVS] raises additional problems to specialized engines with respect to text search. Contextual searching and special patterns-based techniques are current solutions. With the progress on ontology, web services, semantic social media, semantic web, deep web search /deep semantic web/, semantic deep web, semantic networking and semantic reasoning, SEMAPRO 2010 constituted the stage for the state-of-the-art on the most recent advances. We take here the opportunity to warmly thank all the members of the SEMAPRO 2010 technical program committee as well as the numerous reviewers. The creation of such a broad and high quality con...</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="a154fc1e71dae2024e0d42d38e0966d4" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":88045709,"asset_id":82289158,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/88045709/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="82289158"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="82289158"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 82289158; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=82289158]").text(description); $(".js-view-count[data-work-id=82289158]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 82289158; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='82289158']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "a154fc1e71dae2024e0d42d38e0966d4" } } $('.js-work-strip[data-work-id=82289158]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":82289158,"title":"SEMAPRO 2010 Committee SEMAPRO Advisory Chairs SEMAPRO 2010 Industry Liaison Chairs","translated_title":"","metadata":{"abstract":"the complexity of understanding and processing information. 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Semantic processing considers contextual dependencies and adds to the individually acquired knowledge emergent properties and understanding. Hardware and software support and platforms were developed for semantically enhanced information retrieval and interpretation. Searching for video, voice and speech [VVS] raises additional problems to specialized engines with respect to text search. Contextual searching and special patterns-based techniques are current solutions. With the progress on ontology, web services, semantic social media, semantic web, deep web search /deep semantic web/, semantic deep web, semantic networking and semantic reasoning, SEMAPRO 2010 constituted the stage for the state-of-the-art on the most recent advances. We take here the opportunity to warmly thank all the members of the SEMAPRO 2010 technical program committee as well as the numerous reviewers. 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In this contribution...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">For investment decisions the development of market trends is very important. In this contribution we present our results concerning the influence of news on market trends. We processed the stock news delivered by the Wall Street Journal with two methods of text mining – Bayes classification and grammar-driven classification. We found some potentialities of Dow Jones trend prediction and present promising results.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="77645880"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="77645880"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 77645880; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=77645880]").text(description); $(".js-view-count[data-work-id=77645880]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 77645880; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='77645880']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "-1" } } $('.js-work-strip[data-work-id=77645880]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":77645880,"title":"Text Mining for Indication of Changes in Long-Term Market Trends","translated_title":"","metadata":{"abstract":"For investment decisions the development of market trends is very important. 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We found some potentialities of Dow Jones trend prediction and present promising results.","impression_tracking_id":null,"owner":{"id":86983740,"first_name":"Petr","middle_initials":null,"last_name":"Kroha","page_name":"PKroha","domain_name":"cvut","created_at":"2018-07-10T09:15:12.526-07:00","display_name":"Petr Kroha","url":"https://cvut.academia.edu/PKroha"},"attachments":[],"research_interests":[{"id":5639,"name":"Text Mining","url":"https://www.academia.edu/Documents/in/Text_Mining"},{"id":14493,"name":"Parsing","url":"https://www.academia.edu/Documents/in/Parsing"},{"id":106145,"name":"Classification","url":"https://www.academia.edu/Documents/in/Classification"},{"id":129770,"name":"Key words","url":"https://www.academia.edu/Documents/in/Key_words"},{"id":1185612,"name":"H","url":"https://www.academia.edu/Documents/in/H"}],"urls":[{"id":19921314,"url":"http://i-know.tugraz.at/wp-content/uploads/2008/11/51_text-mining-for-indication-of-changes-in-long-term-market-trends.pdf"}]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") if (false) { Aedu.setUpFigureCarousel('profile-work-77645880-figures'); } }); </script> <div class="js-work-strip profile--work_container" data-work-id="77645879"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/77645879/Patterns_in_Textual_Requirements_Specification"><img alt="Research paper thumbnail of Patterns in Textual Requirements Specification" class="work-thumbnail" src="https://attachments.academia-assets.com/84959443/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/77645879/Patterns_in_Textual_Requirements_Specification">Patterns in Textual Requirements Specification</a></div><div class="wp-workCard_item"><span>Proceedings of the 13th International Conference on Software Technologies</span><span>, 2018</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In this paper, we investigate methods of grammatical inspection to identify patterns in textual r...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In this paper, we investigate methods of grammatical inspection to identify patterns in textual requirements specification. Unfortunately, a text in natural language includes additionally many inaccuracies caused by ambiguity, inconsistency, and incompleteness. Our contribution is that using our patterns, we are able to extract the information from the text that is necessary to fix some of the problems mentioned above. We present our implemented tool TEMOS that is able to detect some inaccuracies in a text and to generate fragments of the UML class model from textual requirements specification. We use external on-line resources to complete the textual information of requirements.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="b1b6342e5baa5b6efda1d4a48e3796e9" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":84959443,"asset_id":77645879,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/84959443/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="77645879"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="77645879"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 77645879; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=77645879]").text(description); $(".js-view-count[data-work-id=77645879]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 77645879; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='77645879']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "b1b6342e5baa5b6efda1d4a48e3796e9" } } $('.js-work-strip[data-work-id=77645879]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":77645879,"title":"Patterns in Textual Requirements Specification","translated_title":"","metadata":{"publisher":"SCITEPRESS - Science and Technology Publications","ai_title_tag":"Grammatical Patterns in Requirements Text","grobid_abstract":"In this paper, we investigate methods of grammatical inspection to identify patterns in textual requirements specification. 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Examples include requirement specifications, design documents, manual pages, system development journals, error logs, and related maintenance reports. We propose a method based on information retrieval to recover traceability links between source code and free text documents. A premise of our work is that programmers use meaningful names for program items, such as functions, variables, types, classes, and methods. We believe that the application-domain knowledge that programmers process when writing the code is often captured by the mnemonics for identifiers; therefore, the analysis of these mnemonics can help to associate high-level concepts with program concepts and vice-versa. We apply both a probabilistic and a vector space information retrieval model in two case studies to trace C++ source code onto manual pages and Java code to functional requirements. We compare the results of applying the two models, discuss the benefits and limitations, and describe directions for improvements.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="0985549c0fda57e51f90ef6d35523026" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":84959432,"asset_id":77645856,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/84959432/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="77645856"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="77645856"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 77645856; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=77645856]").text(description); $(".js-view-count[data-work-id=77645856]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 77645856; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='77645856']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "0985549c0fda57e51f90ef6d35523026" } } $('.js-work-strip[data-work-id=77645856]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":77645856,"title":"Recovering traceability links between code and documentation","translated_title":"","metadata":{"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","grobid_abstract":"Software system documentation is almost always expressed informally in natural language and free text. 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") if (false) { Aedu.setUpFigureCarousel('profile-work-77645856-figures'); } }); </script> <div class="js-work-strip profile--work_container" data-work-id="71921618"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" rel="nofollow" href="https://www.academia.edu/71921618/Performance_Comparison_of_Distributed_Object_Server_Implementation"><img alt="Research paper thumbnail of Performance Comparison of Distributed Object Server Implementation" class="work-thumbnail" src="https://a.academia-assets.com/images/blank-paper.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title">Performance Comparison of Distributed Object Server Implementation</div><div class="wp-workCard_item"><span>International Conference on Information System Implementation and Modeling</span><span>, 2007</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="71921618"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="71921618"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 71921618; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=71921618]").text(description); $(".js-view-count[data-work-id=71921618]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 71921618; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='71921618']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (false){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); 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$(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") if (false) { Aedu.setUpFigureCarousel('profile-work-71921618-figures'); } }); </script> <div class="js-work-strip profile--work_container" data-work-id="71921616"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/71921616/ADA_Embracing_Technology_Change_Acceleration"><img alt="Research paper thumbnail of ADA: Embracing Technology Change Acceleration" class="work-thumbnail" src="https://attachments.academia-assets.com/81067521/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/71921616/ADA_Embracing_Technology_Change_Acceleration">ADA: Embracing Technology Change Acceleration</a></div><div class="wp-workCard_item"><span>Enterprise Engineering Working Conference</span><span>, 2019</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">The pace of technology change has accelerated in the past decade. Conceptually similar technologi...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">The pace of technology change has accelerated in the past decade. Conceptually similar technologies are introduced on nearly a daily basis. On one hand, IT experts call for applying the most modern approaches and technologies to software projects, on the other, companies suffer from liabilities to a technology used in their legacy solutions. This seems to result in a disturbing situation when a specific technology of an ongoing software project becomes legacy almost before the project successfully hits a production. This poses a continual challenge for software development, and effective ways of technology transition are sought. Affordance-Driven Assembling (ADA) represents such an effort from the standpoint of enterprise engineering theories. In this paper, we formulate a high-level architecture of a software system based on ADA. We demonstrate the architecture on an example of an object-oriented system. We evaluate the qualities of such architecture from the perspective of evolvability using Normalized Systems Theory, and we formulate conclusions on potential of this approach.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="14fa393742de2d6e942ef9f9484b9204" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":81067521,"asset_id":71921616,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/81067521/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="71921616"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="71921616"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 71921616; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=71921616]").text(description); $(".js-view-count[data-work-id=71921616]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 71921616; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='71921616']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "14fa393742de2d6e942ef9f9484b9204" } } $('.js-work-strip[data-work-id=71921616]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":71921616,"title":"ADA: Embracing Technology Change Acceleration","translated_title":"","metadata":{"ai_title_tag":"Accelerating Tech Change in Software Systems","grobid_abstract":"The pace of technology change has accelerated in the past decade. Conceptually similar technologies are introduced on nearly a daily basis. On one hand, IT experts call for applying the most modern approaches and technologies to software projects, on the other, companies suffer from liabilities to a technology used in their legacy solutions. This seems to result in a disturbing situation when a specific technology of an ongoing software project becomes legacy almost before the project successfully hits a production. This poses a continual challenge for software development, and effective ways of technology transition are sought. Affordance-Driven Assembling (ADA) represents such an effort from the standpoint of enterprise engineering theories. In this paper, we formulate a high-level architecture of a software system based on ADA. We demonstrate the architecture on an example of an object-oriented system. We evaluate the qualities of such architecture from the perspective of evolvability using Normalized Systems Theory, and we formulate conclusions on potential of this approach.","publication_date":{"day":null,"month":null,"year":2019,"errors":{}},"publication_name":"Enterprise Engineering Working Conference","grobid_abstract_attachment_id":81067521},"translated_abstract":null,"internal_url":"https://www.academia.edu/71921616/ADA_Embracing_Technology_Change_Acceleration","translated_internal_url":"","created_at":"2022-02-20T00:47:39.547-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":86983740,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":81067521,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/81067521/thumbnails/1.jpg","file_name":"paper7.pdf","download_url":"https://www.academia.edu/attachments/81067521/download_file","bulk_download_file_name":"ADA_Embracing_Technology_Change_Accelera.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/81067521/paper7-libre.pdf?1645346944=\u0026response-content-disposition=attachment%3B+filename%3DADA_Embracing_Technology_Change_Accelera.pdf\u0026Expires=1743925036\u0026Signature=MXegrh64X55aFm~R~-qCiZHCmWTDOSroA9KTMxoEyro-ppZC9VWiBx~nvDadFX0LO1BIc287zP04JDmtVF3vGGvc1heULrMH4RdnxIMXFuEcT~yoIfye462chs0s82leh7QLwAq~zxnTBQpd6~0Jef5HAkGbKajMZ0B6XPNEaZvVf8lI~upy3O2YwR7FL7p2m24v0Hxm7oXDjF79e7M0cuUMS9wVUzrDWcN911spE8f~h0Ib2XYFOqbT-VOU2W64qeQ4sLWkRilA5QEyHtwWeGrkXinmnYy9R7yqCgbJKVgK7ioIsU9OGMnhjE3m0sMvwkn9y4ByS9LcBLsYYuXVDA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"ADA_Embracing_Technology_Change_Acceleration","translated_slug":"","page_count":4,"language":"en","content_type":"Work","summary":"The pace of technology change has accelerated in the past decade. Conceptually similar technologies are introduced on nearly a daily basis. On one hand, IT experts call for applying the most modern approaches and technologies to software projects, on the other, companies suffer from liabilities to a technology used in their legacy solutions. This seems to result in a disturbing situation when a specific technology of an ongoing software project becomes legacy almost before the project successfully hits a production. This poses a continual challenge for software development, and effective ways of technology transition are sought. Affordance-Driven Assembling (ADA) represents such an effort from the standpoint of enterprise engineering theories. In this paper, we formulate a high-level architecture of a software system based on ADA. We demonstrate the architecture on an example of an object-oriented system. We evaluate the qualities of such architecture from the perspective of evolvability using Normalized Systems Theory, and we formulate conclusions on potential of this approach.","impression_tracking_id":null,"owner":{"id":86983740,"first_name":"Petr","middle_initials":null,"last_name":"Kroha","page_name":"PKroha","domain_name":"cvut","created_at":"2018-07-10T09:15:12.526-07:00","display_name":"Petr Kroha","url":"https://cvut.academia.edu/PKroha"},"attachments":[{"id":81067521,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/81067521/thumbnails/1.jpg","file_name":"paper7.pdf","download_url":"https://www.academia.edu/attachments/81067521/download_file","bulk_download_file_name":"ADA_Embracing_Technology_Change_Accelera.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/81067521/paper7-libre.pdf?1645346944=\u0026response-content-disposition=attachment%3B+filename%3DADA_Embracing_Technology_Change_Accelera.pdf\u0026Expires=1743925036\u0026Signature=MXegrh64X55aFm~R~-qCiZHCmWTDOSroA9KTMxoEyro-ppZC9VWiBx~nvDadFX0LO1BIc287zP04JDmtVF3vGGvc1heULrMH4RdnxIMXFuEcT~yoIfye462chs0s82leh7QLwAq~zxnTBQpd6~0Jef5HAkGbKajMZ0B6XPNEaZvVf8lI~upy3O2YwR7FL7p2m24v0Hxm7oXDjF79e7M0cuUMS9wVUzrDWcN911spE8f~h0Ib2XYFOqbT-VOU2W64qeQ4sLWkRilA5QEyHtwWeGrkXinmnYy9R7yqCgbJKVgK7ioIsU9OGMnhjE3m0sMvwkn9y4ByS9LcBLsYYuXVDA__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") if (false) { Aedu.setUpFigureCarousel('profile-work-71921616-figures'); } }); </script> <div class="js-work-strip profile--work_container" data-work-id="71921615"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/71921615/Using_Fuzzy_and_Fractal_Methods_for_Analyzing_Market_Time_Series"><img alt="Research paper thumbnail of Using Fuzzy and Fractal Methods for Analyzing Market Time Series" class="work-thumbnail" src="https://attachments.academia-assets.com/81067523/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/71921615/Using_Fuzzy_and_Fractal_Methods_for_Analyzing_Market_Time_Series">Using Fuzzy and Fractal Methods for Analyzing Market Time Series</a></div><div class="wp-workCard_item"><span>International Joint Conference on Computational Intelligence</span><span>, 2010</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">In this contribution, we investigate the possibilities of using fuzzy and fractal methods for ana...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">In this contribution, we investigate the possibilities of using fuzzy and fractal methods for analyzing time series of market data. First, we implemented and tested a fuzzy component that provides fuzzyfication by the Mamdani Larsen inference method with static rules using not only Gauss but also Cauchy and Mandelbrot distribution. Second, we implemented and tested a fractal component that provides fuzzy clustering by the Takagi Sugeno method with dynamic fuzzy rules. Looking for an optimum, we simulated many parameter combinations and compared the results. We present some interesting results of our experiments.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="05fa94a5c5e1f412ab2eeb7538e72215" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":81067523,"asset_id":71921615,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/81067523/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="71921615"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="71921615"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 71921615; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=71921615]").text(description); $(".js-view-count[data-work-id=71921615]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 71921615; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='71921615']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "05fa94a5c5e1f412ab2eeb7538e72215" } } $('.js-work-strip[data-work-id=71921615]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":71921615,"title":"Using Fuzzy and Fractal Methods for Analyzing Market Time Series","translated_title":"","metadata":{"grobid_abstract":"In this contribution, we investigate the possibilities of using fuzzy and fractal methods for analyzing time series of market data. 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We present some interesting results of our experiments.","publication_date":{"day":null,"month":null,"year":2010,"errors":{}},"publication_name":"International Joint Conference on Computational Intelligence","grobid_abstract_attachment_id":81067523},"translated_abstract":null,"internal_url":"https://www.academia.edu/71921615/Using_Fuzzy_and_Fractal_Methods_for_Analyzing_Market_Time_Series","translated_internal_url":"","created_at":"2022-02-20T00:47:39.450-08:00","preview_url":null,"current_user_can_edit":null,"current_user_is_owner":null,"owner_id":86983740,"coauthors_can_edit":true,"document_type":"paper","co_author_tags":[],"downloadable_attachments":[{"id":81067523,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/81067523/thumbnails/1.jpg","file_name":"82d0123a0ef7d5af2b0b00a0e3d68d0444c8.pdf","download_url":"https://www.academia.edu/attachments/81067523/download_file","bulk_download_file_name":"Using_Fuzzy_and_Fractal_Methods_for_Anal.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/81067523/82d0123a0ef7d5af2b0b00a0e3d68d0444c8-libre.pdf?1645346944=\u0026response-content-disposition=attachment%3B+filename%3DUsing_Fuzzy_and_Fractal_Methods_for_Anal.pdf\u0026Expires=1743858184\u0026Signature=XtFy19J5YrPBWUW1q5SP6KjfupnxmYwc3dV6a6rlMJgZKOg7drPe4bra-zXco4RhaJeHgJ3pVTx059N9mCEpWBRNqefgcVgPeijLcFM7TEWkQE~6Seatda6HVNbti3VNTbwOiFt6Zba9YmPKQCb-e4ZyVNohD~Tx3GzauB6DqPrZLgvanpND3RZJSxbwPGP9InvGcTKx3SMUwvRwhLAq1Ucmovm8o6Miw6mBkricwwLkLBEKWNXL9DLNskuUZT0p49KTwESwhAzF-aVFEzT9oqJ-m-XKdEVOoW70jLxkz5niQiZ8suW6jBA~apb8RPaxqT4PXcUH4LVfgYhVUCQtFw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"slug":"Using_Fuzzy_and_Fractal_Methods_for_Analyzing_Market_Time_Series","translated_slug":"","page_count":8,"language":"en","content_type":"Work","summary":"In this contribution, we investigate the possibilities of using fuzzy and fractal methods for analyzing time series of market data. First, we implemented and tested a fuzzy component that provides fuzzyfication by the Mamdani Larsen inference method with static rules using not only Gauss but also Cauchy and Mandelbrot distribution. Second, we implemented and tested a fractal component that provides fuzzy clustering by the Takagi Sugeno method with dynamic fuzzy rules. Looking for an optimum, we simulated many parameter combinations and compared the results. We present some interesting results of our experiments.","impression_tracking_id":null,"owner":{"id":86983740,"first_name":"Petr","middle_initials":null,"last_name":"Kroha","page_name":"PKroha","domain_name":"cvut","created_at":"2018-07-10T09:15:12.526-07:00","display_name":"Petr Kroha","url":"https://cvut.academia.edu/PKroha"},"attachments":[{"id":81067523,"title":"","file_type":"pdf","scribd_thumbnail_url":"https://attachments.academia-assets.com/81067523/thumbnails/1.jpg","file_name":"82d0123a0ef7d5af2b0b00a0e3d68d0444c8.pdf","download_url":"https://www.academia.edu/attachments/81067523/download_file","bulk_download_file_name":"Using_Fuzzy_and_Fractal_Methods_for_Anal.pdf","bulk_download_url":"https://d1wqtxts1xzle7.cloudfront.net/81067523/82d0123a0ef7d5af2b0b00a0e3d68d0444c8-libre.pdf?1645346944=\u0026response-content-disposition=attachment%3B+filename%3DUsing_Fuzzy_and_Fractal_Methods_for_Anal.pdf\u0026Expires=1743858184\u0026Signature=XtFy19J5YrPBWUW1q5SP6KjfupnxmYwc3dV6a6rlMJgZKOg7drPe4bra-zXco4RhaJeHgJ3pVTx059N9mCEpWBRNqefgcVgPeijLcFM7TEWkQE~6Seatda6HVNbti3VNTbwOiFt6Zba9YmPKQCb-e4ZyVNohD~Tx3GzauB6DqPrZLgvanpND3RZJSxbwPGP9InvGcTKx3SMUwvRwhLAq1Ucmovm8o6Miw6mBkricwwLkLBEKWNXL9DLNskuUZT0p49KTwESwhAzF-aVFEzT9oqJ-m-XKdEVOoW70jLxkz5niQiZ8suW6jBA~apb8RPaxqT4PXcUH4LVfgYhVUCQtFw__\u0026Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA"}],"research_interests":[{"id":422,"name":"Computer Science","url":"https://www.academia.edu/Documents/in/Computer_Science"},{"id":724,"name":"Economics","url":"https://www.academia.edu/Documents/in/Economics"}],"urls":[]}, dispatcherData: dispatcherData }); $(this).data('initialized', true); } }); $a.trackClickSource(".js-work-strip-work-link", "profile_work_strip") if (false) { Aedu.setUpFigureCarousel('profile-work-71921615-figures'); } }); </script> <div class="js-work-strip profile--work_container" data-work-id="71921614"><div class="profile--work_thumbnail hidden-xs"><a class="js-work-strip-work-link" data-click-track="profile-work-strip-thumbnail" href="https://www.academia.edu/71921614/Case_Study_Running_Test_Cases_for_Sequential_Programs_in_Parallel_in_a_Cluster_Environment"><img alt="Research paper thumbnail of Case Study: Running Test Cases for Sequential Programs in Parallel in a Cluster Environment" class="work-thumbnail" src="https://attachments.academia-assets.com/81067522/thumbnails/1.jpg" /></a></div><div class="wp-workCard wp-workCard_itemContainer"><div class="wp-workCard_item wp-workCard--title"><a class="js-work-strip-work-link text-gray-darker" data-click-track="profile-work-strip-title" href="https://www.academia.edu/71921614/Case_Study_Running_Test_Cases_for_Sequential_Programs_in_Parallel_in_a_Cluster_Environment">Case Study: Running Test Cases for Sequential Programs in Parallel in a Cluster Environment</a></div><div class="wp-workCard_item"><span>International Conference on Evaluation of Novel Approaches to Software Engineering</span><span>, 2008</span></div><div class="wp-workCard_item"><span class="js-work-more-abstract-truncated">Testing a software system consists of a test case construction and of running and evaluating them...</span><a class="js-work-more-abstract" data-broccoli-component="work_strip.more_abstract" data-click-track="profile-work-strip-more-abstract" href="javascript:;"><span> more </span><span><i class="fa fa-caret-down"></i></span></a><span class="js-work-more-abstract-untruncated hidden">Testing a software system consists of a test case construction and of running and evaluating them, i.e. comparing expected results with obtained results. Because the set of test cases is usually very large, some methods of automation may be used to run them. Usually, test cases run on the same machine where the tested software system should run later. In our case, we run the test cases of a software system for a sequential computer on a cluster in parallel. The goal is to accelerate the process of running and evaluating tests. In this paper we describe the architecture of our test execution tool, experiments, and obtained results concerning performance and efficiency of test automation of sequential programs in a cluster environment.</span></div><div class="wp-workCard_item wp-workCard--actions"><span class="work-strip-bookmark-button-container"></span><a id="f63b70fd539d16819080942cbeff9ca7" class="wp-workCard--action" rel="nofollow" data-click-track="profile-work-strip-download" data-download="{"attachment_id":81067522,"asset_id":71921614,"asset_type":"Work","button_location":"profile"}" href="https://www.academia.edu/attachments/81067522/download_file?s=profile"><span><i class="fa fa-arrow-down"></i></span><span>Download</span></a><span class="wp-workCard--action visible-if-viewed-by-owner inline-block" style="display: none;"><span class="js-profile-work-strip-edit-button-wrapper profile-work-strip-edit-button-wrapper" data-work-id="71921614"><a class="js-profile-work-strip-edit-button" tabindex="0"><span><i class="fa fa-pencil"></i></span><span>Edit</span></a></span></span></div><div class="wp-workCard_item wp-workCard--stats"><span><span><span class="js-view-count view-count u-mr2x" data-work-id="71921614"><i class="fa fa-spinner fa-spin"></i></span><script>$(function () { var workId = 71921614; window.Academia.workViewCountsFetcher.queue(workId, function (count) { var description = window.$h.commaizeInt(count) + " " + window.$h.pluralize(count, 'View'); $(".js-view-count[data-work-id=71921614]").text(description); $(".js-view-count[data-work-id=71921614]").attr('title', description).tooltip(); }); });</script></span></span><span><span class="percentile-widget hidden"><span class="u-mr2x work-percentile"></span></span><script>$(function () { var workId = 71921614; window.Academia.workPercentilesFetcher.queue(workId, function (percentileText) { var container = $(".js-work-strip[data-work-id='71921614']"); container.find('.work-percentile').text(percentileText.charAt(0).toUpperCase() + percentileText.slice(1)); container.find('.percentile-widget').show(); container.find('.percentile-widget').removeClass('hidden'); }); });</script></span></div><div id="work-strip-premium-row-container"></div></div></div><script> require.config({ waitSeconds: 90 })(["https://a.academia-assets.com/assets/wow_profile-a9bf3a2bc8c89fa2a77156577594264ee8a0f214d74241bc0fcd3f69f8d107ac.js","https://a.academia-assets.com/assets/work_edit-ad038b8c047c1a8d4fa01b402d530ff93c45fee2137a149a4a5398bc8ad67560.js"], function() { // from javascript_helper.rb var dispatcherData = {} if (true){ window.WowProfile.dispatcher = window.WowProfile.dispatcher || _.clone(Backbone.Events); dispatcherData = { dispatcher: window.WowProfile.dispatcher, downloadLinkId: "f63b70fd539d16819080942cbeff9ca7" } } $('.js-work-strip[data-work-id=71921614]').each(function() { if (!$(this).data('initialized')) { new WowProfile.WorkStripView({ el: this, workJSON: {"id":71921614,"title":"Case Study: Running Test Cases for Sequential Programs in Parallel in a Cluster Environment","translated_title":"","metadata":{"ai_title_tag":"Parallel Testing for Sequential Programs in Clusters","grobid_abstract":"Testing a software system consists of a test case construction and of running and evaluating them, i.e. comparing expected results with obtained results. 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We focused on the structural ambiguity and extracted some patterns to indicate this kind of ambiguity. We show that the standard methods of linguistics are not enough in some cases, and we describe a class of ambiguity caused by coreference that needs an underlying domain model or a knowledge base to be solved. 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The elicitation process consists of several steps (classification tasks) each contributing a piece of information to the generated domain model. We explain the design, training application and evaluation of the relevant classification models. This work was partially supported by the Grant Agency of the Czech Republic project P103/11/1489 and by the Charles University institutional funding SVV-2012-265312. D3S, Technical Report no. 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