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Leonardo Guerreiro Azevedo - IBM Research

<!DOCTYPE html><html lang="en-US"><head><meta charSet="utf-8"/><title>Leonardo Guerreiro Azevedo - IBM Research</title><meta name="description" content="Leonardo G. Azevedo has been Research Scientist within IBM Research Brazil since 2013. He is Ph.D. (2005) and MSc. 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style="--top:0px;--top-offset:0rem"></a><div class="p7tK8"><div class="_4s3yP"><h1 class="eoFfr">Leonardo Guerreiro Azevedo</h1><div class="BAYxB"><section><h2 class="TD6HM">Title</h2><div class="QxXJo">Staff Research Scientist, Knowledge Engineer and Distributed Service Architect</div></section></div></div><div class="wEd95"><div class="epsPr"><span style="box-sizing:border-box;display:block;overflow:hidden;width:initial;height:initial;background:none;opacity:1;border:0;margin:0;padding:0;position:absolute;top:0;left:0;bottom:0;right:0"><img alt="Leonardo Guerreiro Azevedo" src="data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7" decoding="async" data-nimg="fill" style="position:absolute;top:0;left:0;bottom:0;right:0;box-sizing:border-box;padding:0;border:none;margin:auto;display:block;width:0;height:0;min-width:100%;max-width:100%;min-height:100%;max-height:100%;object-fit:cover"/><noscript><img alt="Leonardo Guerreiro Azevedo" loading="lazy" decoding="async" data-nimg="fill" style="position:absolute;top:0;left:0;bottom:0;right:0;box-sizing:border-box;padding:0;border:none;margin:auto;display:block;width:0;height:0;min-width:100%;max-width:100%;min-height:100%;max-height:100%;object-fit:cover" sizes="(min-width: 99rem) calc((99rem - 50rem) * 0.25 + 9rem), (min-width: 82rem) calc((100vw - 50rem) * 0.25 + 9rem), (min-width: 66rem) calc((100vw - 49rem) * 0.25 + 9rem), (min-width: 42rem) calc(((100vw - 27rem) * 0.375 + 6rem) + 3rem), 400px" srcSet="https://research.ibm.com/api/image/leonardo-guerreiro-azevedo.webp?url=https%3A%2F%2Fresearch-website-prod-ibmers-images.s3.us-east.cloud-object-storage.appdomain.cloud%2F2024&amp;w=16&amp;q=75 16w, https://research.ibm.com/api/image/leonardo-guerreiro-azevedo.webp?url=https%3A%2F%2Fresearch-website-prod-ibmers-images.s3.us-east.cloud-object-storage.appdomain.cloud%2F2024&amp;w=32&amp;q=75 32w, 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1080w, https://research.ibm.com/api/image/leonardo-guerreiro-azevedo.webp?url=https%3A%2F%2Fresearch-website-prod-ibmers-images.s3.us-east.cloud-object-storage.appdomain.cloud%2F2024&amp;w=1200&amp;q=75 1200w, https://research.ibm.com/api/image/leonardo-guerreiro-azevedo.webp?url=https%3A%2F%2Fresearch-website-prod-ibmers-images.s3.us-east.cloud-object-storage.appdomain.cloud%2F2024&amp;w=1920&amp;q=75 1920w, https://research.ibm.com/api/image/leonardo-guerreiro-azevedo.webp?url=https%3A%2F%2Fresearch-website-prod-ibmers-images.s3.us-east.cloud-object-storage.appdomain.cloud%2F2024&amp;w=2048&amp;q=75 2048w, https://research.ibm.com/api/image/leonardo-guerreiro-azevedo.webp?url=https%3A%2F%2Fresearch-website-prod-ibmers-images.s3.us-east.cloud-object-storage.appdomain.cloud%2F2024&amp;w=3840&amp;q=75 3840w" src="https://research.ibm.com/api/image/leonardo-guerreiro-azevedo.webp?url=https%3A%2F%2Fresearch-website-prod-ibmers-images.s3.us-east.cloud-object-storage.appdomain.cloud%2F2024&amp;w=3840&amp;q=75"/></noscript></span></div></div></div></section><section class="H2eT0"><div class="pjmlR"><a class="xHBSN" name="bio" style="--top:0px;--top-offset:0rem"></a><h2 class="Ji5Eq">Bio</h2><div class="r_AIv"><p class="eBWTD EihHw">Leonardo G. Azevedo has been Research Scientist within IBM Research Brazil since 2013. He is Ph.D. (2005) and MSc. (2001) from PESC/COPPE/UFRJ and Bachelor in Informatics from UFRJ (Rio de Janeiro-Brazil). He was a professor within UniRio (2006 to 2018) and a researcher of the Graduate Program in Informatics (PPGI/UniRio) (2009 to 2018). He has more than 20 years of experience in system development and applied research, working on projects for national and international organizations. His research areas are Distributed Sytems, Service-Oriented Architecture (SOA), Microservices Architecture (MSA), Databases, Provenance, Data Integration, Polystore, Knowledge Engineering,  Ontologies, and Business Process Management (BPM).</p><p class="eBWTD">homepage: <a href="http://ibm.biz/leonardo" class="bx--link _7_4F7 bx--link--inline">http://ibm.biz/leonardo</a> and</p><p class="eBWTD DMxM7">CNPq Lattes: <a href="http://lattes.cnpq.br/7214791464543522" class="bx--link _7_4F7 bx--link--inline">http://lattes.cnpq.br/7214791464543522</a>.</p></div></div></section><section class="_9O_DZ cOi2S"><a class="xHBSN" name="patents" style="--top:0px;--top-offset:0rem"></a><a class="xHBSN" name="publications" style="--top:0px;--top-offset:0rem"></a><div class="EECWT PCata bx--tabs--scrollable"><button aria-hidden="true" aria-label="Scroll left" class="bx--tab--overflow-nav-button--hidden" tabindex="-1" type="button"><svg focusable="false" preserveAspectRatio="xMidYMid meet" xmlns="http://www.w3.org/2000/svg" fill="currentColor" width="16" height="16" viewBox="0 0 16 16" aria-hidden="true"><path d="M5 8L10 3 10.7 3.7 6.4 8 10.7 12.3 10 13z"></path></svg></button><ul role="tablist" tabindex="-1" class="bx--tabs--scrollable__nav"><li role="presentation" class="tfTpJ bx--tabs--scrollable__nav-item bx--tabs__nav-item--selected bx--tabs--scrollable__nav-item--selected"><button type="button" role="tab" aria-selected="true" class="bx--tabs--scrollable__nav-link" href="#" tabindex="0">Publications</button></li><li role="presentation" class="tfTpJ bx--tabs--scrollable__nav-item"><button type="button" role="tab" aria-selected="false" class="bx--tabs--scrollable__nav-link" href="#" tabindex="-1">Patents</button></li></ul><button aria-hidden="true" aria-label="Scroll right" class="bx--tab--overflow-nav-button--hidden" tabindex="-1" type="button"><svg focusable="false" preserveAspectRatio="xMidYMid meet" xmlns="http://www.w3.org/2000/svg" fill="currentColor" width="16" height="16" viewBox="0 0 16 16" aria-hidden="true"><path d="M11 8L6 13 5.3 12.3 9.6 8 5.3 3.7 6 3z"></path></svg></button></div><div role="tabpanel" class="bx--tab-content" selected="" tabindex="0"></div><div role="tabpanel" hidden="" class="bx--tab-content" tabindex="0"></div></section><section class="_2CLlr cOi2S"><h2 class="Ji5Eq CvY_O">Publications</h2><div class="_8ooYo"><ul><li class="vGCFo"><article class="PpV0z _4VvpY ywX4g"><h3 class="d0naJ jjmX_"><a class="_1kOEn" href="/publications/an-experiment-on-process-model-understandability-using-textual-work-instructions-and-bpmn-models">An Experiment on Process Model Understandability Using Textual Work Instructions and BPMN Models</a></h3><ul class="VgSQD"><li class="EEJK9"><ul class="_8ydsY"><li class="_8MUnA">Raphael De Almeida Rodrigues</li><li class="_8MUnA">Márcio De O. Barros</li><li class="_8MUnA">et al.</li></ul></li><li class="EEJK9">2015</li><li class="EEJK9 XuP8p">SBES 2015</li></ul><div class="FN4MA"><svg focusable="false" preserveAspectRatio="xMidYMid meet" xmlns="http://www.w3.org/2000/svg" fill="currentColor" width="24" height="24" viewBox="0 0 24 24" aria-hidden="true" class="UI7HX QQGoa"><path d="M14 4L12.9 5.1 18.9 11.2 2 11.2 2 12.8 18.9 12.8 12.9 18.9 14 20 22 12z"></path></svg></div></article></li><li class="vGCFo"><article class="PpV0z _4VvpY ywX4g"><h3 class="d0naJ jjmX_"><a class="_1kOEn" href="/publications/a-clustering-based-approach-to-detect-probable-outcomes-of-lawsuits">A clustering-based approach to detect probable outcomes of lawsuits</a></h3><ul class="VgSQD"><li class="EEJK9"><ul class="_8ydsY"><li class="_8MUnA">Daniel Lemes Gribel</li><li class="_8MUnA">Maira Gatti de Bayser</li><li class="_8MUnA">et al.</li></ul></li><li class="EEJK9">2015</li><li class="EEJK9 XuP8p">CIKM 2015</li></ul><div class="FN4MA"><svg focusable="false" preserveAspectRatio="xMidYMid meet" xmlns="http://www.w3.org/2000/svg" fill="currentColor" width="24" height="24" viewBox="0 0 24 24" aria-hidden="true" class="UI7HX QQGoa"><path d="M14 4L12.9 5.1 18.9 11.2 2 11.2 2 12.8 18.9 12.8 12.9 18.9 14 20 22 12z"></path></svg></div></article></li><li class="vGCFo"><article class="PpV0z _4VvpY ywX4g"><h3 class="d0naJ jjmX_"><a class="_1kOEn" href="/publications/wise-spl-bringing-multi-tenancy-to-the-weather-insights-environment-system">WISE-SPL: Bringing Multi-tenancy to the Weather InSights Environment System</a></h3><ul class="VgSQD"><li class="EEJK9"><ul class="_8ydsY"><li class="_8MUnA"><a class="WvbPS" href="/people/vinicius-segura">Vinícius Segura</a></li><li class="_8MUnA"><a class="WvbPS" href="/people/leonardo-pondian-tizzei">Leonardo P. Tizzei</a></li><li class="_8MUnA">et al.</li></ul></li><li class="EEJK9">2015</li><li class="EEJK9 XuP8p">PLEASE 2015</li></ul><div class="FN4MA"><svg focusable="false" preserveAspectRatio="xMidYMid meet" xmlns="http://www.w3.org/2000/svg" fill="currentColor" width="24" height="24" viewBox="0 0 24 24" aria-hidden="true" class="UI7HX QQGoa"><path d="M14 4L12.9 5.1 18.9 11.2 2 11.2 2 12.8 18.9 12.8 12.9 18.9 14 20 22 12z"></path></svg></div></article></li><li class="vGCFo"><article class="PpV0z _4VvpY ywX4g"><h3 class="d0naJ jjmX_"><a class="_1kOEn" href="/publications/researchops-the-case-for-devops-in-scientific-applications">ResearchOps: The case for DevOps in scientific applications</a></h3><ul class="VgSQD"><li class="EEJK9"><ul class="_8ydsY"><li class="_8MUnA">M. de Bayser</li><li class="_8MUnA"><a class="WvbPS" href="/people/leonardo-guerreiro-azevedo">Leonardo G. Azevedo</a></li><li class="_8MUnA">et al.</li></ul></li><li class="EEJK9">2015</li><li class="EEJK9 XuP8p">IM 2015</li></ul><div class="FN4MA"><svg focusable="false" preserveAspectRatio="xMidYMid meet" xmlns="http://www.w3.org/2000/svg" fill="currentColor" width="24" height="24" viewBox="0 0 24 24" aria-hidden="true" class="UI7HX QQGoa"><path d="M14 4L12.9 5.1 18.9 11.2 2 11.2 2 12.8 18.9 12.8 12.9 18.9 14 20 22 12z"></path></svg></div></article></li><li class="vGCFo"><article class="PpV0z _4VvpY ywX4g"><h3 class="d0naJ jjmX_"><a class="_1kOEn" href="/publications/architecting-cloud-tools-using-software-product-line-techniques-an-exploratory-study">Architecting cloud tools using software product line techniques: An exploratory study</a></h3><ul class="VgSQD"><li class="EEJK9"><ul class="_8ydsY"><li class="_8MUnA"><a class="WvbPS" href="/people/leonardo-pondian-tizzei">Leonardo P. Tizzei</a></li><li class="_8MUnA"><a class="WvbPS" href="/people/leonardo-guerreiro-azevedo">Leonardo G. Azevedo</a></li><li class="_8MUnA">et al.</li></ul></li><li class="EEJK9">2015</li><li class="EEJK9 XuP8p">SAC 2015</li></ul><div class="FN4MA"><svg focusable="false" preserveAspectRatio="xMidYMid meet" xmlns="http://www.w3.org/2000/svg" fill="currentColor" width="24" height="24" viewBox="0 0 24 24" aria-hidden="true" class="UI7HX QQGoa"><path d="M14 4L12.9 5.1 18.9 11.2 2 11.2 2 12.8 18.9 12.8 12.9 18.9 14 20 22 12z"></path></svg></div></article></li></ul><div class="hjuch"><nav aria-label="pagination" class="Pvkvw mbGgE"><ul class="tgnrU"><li><a class="mTtGB" aria-label="Previous page" href="/people/leonardo-guerreiro-azevedo?publications-page=4"><svg focusable="false" preserveAspectRatio="xMidYMid meet" xmlns="http://www.w3.org/2000/svg" fill="currentColor" width="24" height="24" viewBox="0 0 32 32" aria-hidden="true"><path d="M10 16L20 6 21.4 7.4 12.8 16 21.4 24.6 20 26z"></path></svg></a></li><li><a class="QCIlI" href="/people/leonardo-guerreiro-azevedo">1</a></li><li><div class="JGYxh">...</div></li><li><a class="QCIlI" href="/people/leonardo-guerreiro-azevedo?publications-page=4">4</a></li><li><a aria-current="location" class="QCIlI" href="/people/leonardo-guerreiro-azevedo?publications-page=5">5</a></li></ul></nav></div></div></section><section class="_15LJA QbN3g cOi2S"><h2 class="Ji5Eq CvY_O">Patents</h2><div class="sXOwP"><ul class="_wrOu"><li class="J0_xW"><article class="u8xcP HepWi"><ul class="f7xyQ"><li class="U4UFg"><time dateTime="2024-05-20T00:00:00.000Z">20 May 2024</time></li><li class="U4UFg">US</li><li class="U4UFg">11989628</li></ul><div class="UvF6F"><h3 class="euhTO"><a class="q8YpP" href="https://patents.google.com/patent/US11989628/en">Machine Teaching Complex Concepts Assisted By Computer Vision And Knowledge Reasoning</a></h3></div><div class="lzakT"><svg focusable="false" preserveAspectRatio="xMidYMid meet" xmlns="http://www.w3.org/2000/svg" fill="currentColor" width="24" height="24" viewBox="0 0 24 24" aria-hidden="true" class="_1nFq8 _DIFW"><path d="M14 4L12.9 5.1 18.9 11.2 2 11.2 2 12.8 18.9 12.8 12.9 18.9 14 20 22 12z"></path></svg></div></article></li><li class="J0_xW"><article class="u8xcP HepWi"><ul class="f7xyQ"><li class="U4UFg"><time dateTime="2021-06-28T00:00:00.000Z">28 Jun 2021</time></li><li class="U4UFg">US</li><li class="U4UFg">11048877</li></ul><div class="UvF6F"><h3 class="euhTO"><a class="q8YpP" href="https://patents.google.com/patent/US11048877/en">System And Method For Generating Ontologies Using Natural Language Utterances</a></h3></div><div class="lzakT"><svg focusable="false" preserveAspectRatio="xMidYMid meet" xmlns="http://www.w3.org/2000/svg" fill="currentColor" width="24" height="24" viewBox="0 0 24 24" aria-hidden="true" class="_1nFq8 _DIFW"><path d="M14 4L12.9 5.1 18.9 11.2 2 11.2 2 12.8 18.9 12.8 12.9 18.9 14 20 22 12z"></path></svg></div></article></li><li class="J0_xW"><article class="u8xcP HepWi"><ul class="f7xyQ"><li class="U4UFg"><time dateTime="2021-03-22T00:00:00.000Z">22 Mar 2021</time></li><li class="U4UFg">US</li><li class="U4UFg">10958531</li></ul><div class="UvF6F"><h3 class="euhTO"><a class="q8YpP" href="https://patents.google.com/patent/US10958531/en">On-demand Remote Predictive Monitoring For Industrial Equipment Analysis And Cost Forecast</a></h3></div><div class="lzakT"><svg focusable="false" preserveAspectRatio="xMidYMid meet" xmlns="http://www.w3.org/2000/svg" fill="currentColor" width="24" height="24" viewBox="0 0 24 24" aria-hidden="true" class="_1nFq8 _DIFW"><path d="M14 4L12.9 5.1 18.9 11.2 2 11.2 2 12.8 18.9 12.8 12.9 18.9 14 20 22 12z"></path></svg></div></article></li></ul></div></section><section class="aHjNh cOi2S"><a class="xHBSN" name="projects" style="--top:0px;--top-offset:0rem"></a><h2 class="Ji5Eq">Projects</h2><ul><li style="--delay:0ms"><article class="I_MPR DVTXV ilhsR enHrJ _6Nrej"><div class="YlPdB slA_i"><div class="Bsl82"><span style="box-sizing:border-box;display:block;overflow:hidden;width:initial;height:initial;background:none;opacity:1;border:0;margin:0;padding:0;position:absolute;top:0;left:0;bottom:0;right:0"><img alt="ProvLake.jpg" src="data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7" decoding="async" data-nimg="fill" style="position:absolute;top:0;left:0;bottom:0;right:0;box-sizing:border-box;padding:0;border:none;margin:auto;display:block;width:0;height:0;min-width:100%;max-width:100%;min-height:100%;max-height:100%;object-fit:cover"/><noscript><img alt="ProvLake.jpg" loading="lazy" decoding="async" data-nimg="fill" style="position:absolute;top:0;left:0;bottom:0;right:0;box-sizing:border-box;padding:0;border:none;margin:auto;display:block;width:0;height:0;min-width:100%;max-width:100%;min-height:100%;max-height:100%;object-fit:cover" sizes="(min-width: 99rem) calc(max(calc((99rem - 50rem) * 0.1875 + 6rem), ((calc((99rem - 50rem) * 0.1875 + 6rem)) * (1 / 2)) * (1920 / 1080))), (min-width: 82rem) calc(max(calc((100vw - 50rem) * 0.1875 + 6rem), ((calc((100vw - 50rem) * 0.1875 + 6rem)) * (1 / 2)) * (1920 / 1080))), (min-width: 66rem) calc(max(calc((100vw - 49rem) * 0.1875 + 6rem), ((calc((100vw - 49rem) * 0.1875 + 6rem)) * (1 / 2)) * (1920 / 1080))), (min-width: 42rem) calc(max(calc((100vw - 27rem) * 0.25 + 3rem), ((calc((100vw - 27rem) * 0.25 + 3rem)) * (1 / 2)) * (1920 / 1080))), 16px" srcSet="https://research.ibm.com/_next/image?url=https%3A%2F%2Fresearch-website-prod-cms-uploads.s3.us.cloud-object-storage.appdomain.cloud%2FProv_Lake_0cd2dc8521.jpg&amp;w=16&amp;q=75 16w, https://research.ibm.com/_next/image?url=https%3A%2F%2Fresearch-website-prod-cms-uploads.s3.us.cloud-object-storage.appdomain.cloud%2FProv_Lake_0cd2dc8521.jpg&amp;w=32&amp;q=75 32w, https://research.ibm.com/_next/image?url=https%3A%2F%2Fresearch-website-prod-cms-uploads.s3.us.cloud-object-storage.appdomain.cloud%2FProv_Lake_0cd2dc8521.jpg&amp;w=48&amp;q=75 48w, 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https://research.ibm.com/_next/image?url=https%3A%2F%2Fresearch-website-prod-cms-uploads.s3.us.cloud-object-storage.appdomain.cloud%2FProv_Lake_0cd2dc8521.jpg&amp;w=1920&amp;q=75 1920w, https://research.ibm.com/_next/image?url=https%3A%2F%2Fresearch-website-prod-cms-uploads.s3.us.cloud-object-storage.appdomain.cloud%2FProv_Lake_0cd2dc8521.jpg&amp;w=2048&amp;q=75 2048w, https://research.ibm.com/_next/image?url=https%3A%2F%2Fresearch-website-prod-cms-uploads.s3.us.cloud-object-storage.appdomain.cloud%2FProv_Lake_0cd2dc8521.jpg&amp;w=3840&amp;q=75 3840w" src="https://research.ibm.com/_next/image?url=https%3A%2F%2Fresearch-website-prod-cms-uploads.s3.us.cloud-object-storage.appdomain.cloud%2FProv_Lake_0cd2dc8521.jpg&amp;w=3840&amp;q=75"/></noscript></span></div></div><div class="T_pPI"><h3 class="SgrkM jKy5y"><a class="cH14s rXxOh" href="/projects/provlake">ProvLake</a></h3></div><div class="hds47"><p class="s_ZJX">A lineage data management system for tracking data in hybrid cloud deployments.</p></div><div class="knsmA"><svg focusable="false" preserveAspectRatio="xMidYMid meet" xmlns="http://www.w3.org/2000/svg" fill="currentColor" width="24" height="24" viewBox="0 0 24 24" aria-hidden="true" class="xLQbV ixOkQ urFNk"><path d="M14 4L12.9 5.1 18.9 11.2 2 11.2 2 12.8 18.9 12.8 12.9 18.9 14 20 22 12z"></path></svg></div></article></li></ul></section><section class="_5QLND cOi2S"><a class="xHBSN" name="collaborators" style="--top:0px;--top-offset:0rem"></a><h2 class="Ji5Eq">Top collaborators</h2><div class="YT7ZZ" style="--column-count-sm:4;--item-span-sm:2;--column-count-md:8;--item-span-md:4;--column-count-lg:12;--item-span-lg:3;--column-count-xlg:12;--item-span-xlg:3;--column-count-max:12;--item-span-max:3"><article class="_4ygEB ALUAy wjYBe _2099_"><div class="_7JblE" style="--diameter-sm:128px;--diameter-md:128px;--diameter-lg:128px;--diameter-xlg:128px;--diameter-max:128px"><div class="_32VBU">RM</div><div class="Hf3tG"><span style="box-sizing:border-box;display:block;overflow:hidden;width:initial;height:initial;background:none;opacity:1;border:0;margin:0;padding:0;position:absolute;top:0;left:0;bottom:0;right:0"><img alt="Raphael Melo Thiago" src="data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7" decoding="async" data-nimg="fill" style="position:absolute;top:0;left:0;bottom:0;right:0;box-sizing:border-box;padding:0;border:none;margin:auto;display:block;width:0;height:0;min-width:100%;max-width:100%;min-height:100%;max-height:100%;object-fit:cover"/><noscript><img alt="Raphael Melo Thiago" loading="lazy" decoding="async" data-nimg="fill" style="position:absolute;top:0;left:0;bottom:0;right:0;box-sizing:border-box;padding:0;border:none;margin:auto;display:block;width:0;height:0;min-width:100%;max-width:100%;min-height:100%;max-height:100%;object-fit:cover" sizes="128px" srcSet="https://research.ibm.com/api/image/raphael-melo-thiago.webp?url=https%3A%2F%2Fresearch-website-prod-ibmers-images.s3.us-east.cloud-object-storage.appdomain.cloud%2F2341&amp;w=16&amp;q=75 16w, https://research.ibm.com/api/image/raphael-melo-thiago.webp?url=https%3A%2F%2Fresearch-website-prod-ibmers-images.s3.us-east.cloud-object-storage.appdomain.cloud%2F2341&amp;w=32&amp;q=75 32w, https://research.ibm.com/api/image/raphael-melo-thiago.webp?url=https%3A%2F%2Fresearch-website-prod-ibmers-images.s3.us-east.cloud-object-storage.appdomain.cloud%2F2341&amp;w=48&amp;q=75 48w, https://research.ibm.com/api/image/raphael-melo-thiago.webp?url=https%3A%2F%2Fresearch-website-prod-ibmers-images.s3.us-east.cloud-object-storage.appdomain.cloud%2F2341&amp;w=64&amp;q=75 64w, https://research.ibm.com/api/image/raphael-melo-thiago.webp?url=https%3A%2F%2Fresearch-website-prod-ibmers-images.s3.us-east.cloud-object-storage.appdomain.cloud%2F2341&amp;w=96&amp;q=75 96w, 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https://research.ibm.com/api/image/raphael-melo-thiago.webp?url=https%3A%2F%2Fresearch-website-prod-ibmers-images.s3.us-east.cloud-object-storage.appdomain.cloud%2F2341&amp;w=3840&amp;q=75 3840w" src="https://research.ibm.com/api/image/raphael-melo-thiago.webp?url=https%3A%2F%2Fresearch-website-prod-ibmers-images.s3.us-east.cloud-object-storage.appdomain.cloud%2F2341&amp;w=3840&amp;q=75"/></noscript></span></div></div><div><h3 class="qS8LQ"><a class="MhAku" href="/people/raphael-melo-thiago">Raphael Melo Thiago</a></h3></div></article><article class="_4ygEB ALUAy wjYBe _2099_"><div class="_7JblE" style="--diameter-sm:128px;--diameter-md:128px;--diameter-lg:128px;--diameter-xlg:128px;--diameter-max:128px"><div class="_32VBU">EF</div><div class="Hf3tG"><span style="box-sizing:border-box;display:block;overflow:hidden;width:initial;height:initial;background:none;opacity:1;border:0;margin:0;padding:0;position:absolute;top:0;left:0;bottom:0;right:0"><img alt="Elton Soares" 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https://research.ibm.com/api/image/elton-figueiredo-de-souza-soares.webp?url=https%3A%2F%2Fresearch-website-prod-ibmers-images.s3.us-east.cloud-object-storage.appdomain.cloud%2F1043&amp;w=1920&amp;q=75 1920w, https://research.ibm.com/api/image/elton-figueiredo-de-souza-soares.webp?url=https%3A%2F%2Fresearch-website-prod-ibmers-images.s3.us-east.cloud-object-storage.appdomain.cloud%2F1043&amp;w=2048&amp;q=75 2048w, https://research.ibm.com/api/image/elton-figueiredo-de-souza-soares.webp?url=https%3A%2F%2Fresearch-website-prod-ibmers-images.s3.us-east.cloud-object-storage.appdomain.cloud%2F1043&amp;w=3840&amp;q=75 3840w" src="https://research.ibm.com/api/image/elton-figueiredo-de-souza-soares.webp?url=https%3A%2F%2Fresearch-website-prod-ibmers-images.s3.us-east.cloud-object-storage.appdomain.cloud%2F1043&amp;w=3840&amp;q=75"/></noscript></span></div></div><div><h3 class="qS8LQ"><a class="MhAku" href="/people/elton-figueiredo-de-souza-soares">Elton Soares</a></h3><div class="TNwAp">Advisory Software Engineer</div></div></article><article class="_4ygEB ALUAy wjYBe _2099_"><div class="_7JblE" style="--diameter-sm:128px;--diameter-md:128px;--diameter-lg:128px;--diameter-xlg:128px;--diameter-max:128px"><div class="_32VBU">VT</div><div class="Hf3tG"><span style="box-sizing:border-box;display:block;overflow:hidden;width:initial;height:initial;background:none;opacity:1;border:0;margin:0;padding:0;position:absolute;top:0;left:0;bottom:0;right:0"><img alt="Viviane Torres Da Silva" src="data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7" decoding="async" data-nimg="fill" style="position:absolute;top:0;left:0;bottom:0;right:0;box-sizing:border-box;padding:0;border:none;margin:auto;display:block;width:0;height:0;min-width:100%;max-width:100%;min-height:100%;max-height:100%;object-fit:cover"/><noscript><img alt="Viviane Torres Da Silva" loading="lazy" decoding="async" data-nimg="fill" style="position:absolute;top:0;left:0;bottom:0;right:0;box-sizing:border-box;padding:0;border:none;margin:auto;display:block;width:0;height:0;min-width:100%;max-width:100%;min-height:100%;max-height:100%;object-fit:cover" sizes="128px" srcSet="https://research.ibm.com/api/image/viviane-torres-da-silva.webp?url=https%3A%2F%2Fresearch-website-prod-ibmers-images.s3.us-east.cloud-object-storage.appdomain.cloud%2F4368&amp;w=16&amp;q=75 16w, https://research.ibm.com/api/image/viviane-torres-da-silva.webp?url=https%3A%2F%2Fresearch-website-prod-ibmers-images.s3.us-east.cloud-object-storage.appdomain.cloud%2F4368&amp;w=32&amp;q=75 32w, https://research.ibm.com/api/image/viviane-torres-da-silva.webp?url=https%3A%2F%2Fresearch-website-prod-ibmers-images.s3.us-east.cloud-object-storage.appdomain.cloud%2F4368&amp;w=48&amp;q=75 48w, 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https://research.ibm.com/api/image/viviane-torres-da-silva.webp?url=https%3A%2F%2Fresearch-website-prod-ibmers-images.s3.us-east.cloud-object-storage.appdomain.cloud%2F4368&amp;w=1920&amp;q=75 1920w, https://research.ibm.com/api/image/viviane-torres-da-silva.webp?url=https%3A%2F%2Fresearch-website-prod-ibmers-images.s3.us-east.cloud-object-storage.appdomain.cloud%2F4368&amp;w=2048&amp;q=75 2048w, https://research.ibm.com/api/image/viviane-torres-da-silva.webp?url=https%3A%2F%2Fresearch-website-prod-ibmers-images.s3.us-east.cloud-object-storage.appdomain.cloud%2F4368&amp;w=3840&amp;q=75 3840w" src="https://research.ibm.com/api/image/viviane-torres-da-silva.webp?url=https%3A%2F%2Fresearch-website-prod-ibmers-images.s3.us-east.cloud-object-storage.appdomain.cloud%2F4368&amp;w=3840&amp;q=75"/></noscript></span></div></div><div><h3 class="qS8LQ"><a class="MhAku" href="/people/viviane-torres-da-silva">Viviane Torres Da Silva</a></h3><div class="TNwAp">Senior Research Scientist, Manager</div></div></article><article class="_4ygEB ALUAy wjYBe _2099_"><div class="_7JblE" style="--diameter-sm:128px;--diameter-md:128px;--diameter-lg:128px;--diameter-xlg:128px;--diameter-max:128px"><div class="_32VBU">EA</div><div class="Hf3tG"><span style="box-sizing:border-box;display:block;overflow:hidden;width:initial;height:initial;background:none;opacity:1;border:0;margin:0;padding:0;position:absolute;top:0;left:0;bottom:0;right:0"><img alt="Eduardo Soares" src="data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7" decoding="async" data-nimg="fill" style="position:absolute;top:0;left:0;bottom:0;right:0;box-sizing:border-box;padding:0;border:none;margin:auto;display:block;width:0;height:0;min-width:100%;max-width:100%;min-height:100%;max-height:100%;object-fit:cover"/><noscript><img alt="Eduardo Soares" loading="lazy" decoding="async" data-nimg="fill" 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https://research.ibm.com/api/image/eduardo-soares.webp?url=https%3A%2F%2Fresearch-website-prod-ibmers-images.s3.us-east.cloud-object-storage.appdomain.cloud%2F693&amp;w=2048&amp;q=75 2048w, https://research.ibm.com/api/image/eduardo-soares.webp?url=https%3A%2F%2Fresearch-website-prod-ibmers-images.s3.us-east.cloud-object-storage.appdomain.cloud%2F693&amp;w=3840&amp;q=75 3840w" src="https://research.ibm.com/api/image/eduardo-soares.webp?url=https%3A%2F%2Fresearch-website-prod-ibmers-images.s3.us-east.cloud-object-storage.appdomain.cloud%2F693&amp;w=3840&amp;q=75"/></noscript></span></div></div><div><h3 class="qS8LQ"><a class="MhAku" href="/people/eduardo-soares">Eduardo Soares</a></h3><div class="TNwAp">Research Scientist</div></div></article></div></section></div><aside class="LJZuv"><nav aria-label="breadcrumbs" class="tZXIS r3uz9"><ol><li><a class="bx--link" href="/">Home</a></li><li><span class="aEWzI" aria-hidden="true">↳<!-- --> </span><a class="bx--link" 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Due to a multi-tenant opportunity, WISE is evolving to be deployed on a Cloud environment to support on-demand computing resources and multiple clients. Software product line techniques were applied to model common and variable features of tenants. WISE-SPL enables the derivation of products for each client and also the deployment on Cloud infrastructure. The contribution of this work is a demonstration and discussion of benefits and limitations in applying SPL techniques, following a extractive approach, to build a multi-tenant Cloud application.","linkCode":null,"source":{"__ref":"Source:23210"},"sourceInstance":{"__ref":"SourceInstance:3226"},"authors":[{"__typename":"PublicationHasAuthorName","authorName":{"__ref":"AuthorName:2244"},"affiliations":[{"__ref":"Affiliation:6"}]},{"__typename":"PublicationHasAuthorName","authorName":{"__ref":"AuthorName:3949"},"affiliations":[{"__ref":"Affiliation:6"}]},{"__typename":"PublicationHasAuthorName","authorName":{"__ref":"AuthorName:33636"},"affiliations":[{"__ref":"Affiliation:6"}]},{"__typename":"PublicationHasAuthorName","authorName":{"__ref":"AuthorName:33637"},"affiliations":[{"__ref":"Affiliation:6"}]},{"__typename":"PublicationHasAuthorName","authorName":{"__ref":"AuthorName:3979"},"affiliations":[{"__ref":"Affiliation:6"}]},{"__typename":"PublicationHasAuthorName","authorName":{"__ref":"AuthorName:947"},"affiliations":[{"__ref":"Affiliation:6"}]}]},"Source:21904":{"__typename":"Source","id":"21904","longName":"IFIP/IEEE Symposium on Integrated Network and Service Management","shortName":"IM","type":"CONFERENCE"},"SourceInstance:3258":{"__typename":"SourceInstance","id":"3258","name":"IM 2015"},"Author:3177":{"__typename":"Author","id":"3177","ibmer":null},"AuthorName:3152":{"__typename":"AuthorName","id":"3152","firstName":"M.","firstNameInitials":"M.","lastName":"de Bayser","author":{"__ref":"Author:3177"}},"Publication:14491":{"__typename":"Publication","id":"14491","slug":"researchops-the-case-for-devops-in-scientific-applications","title":"ResearchOps: The case for DevOps in scientific applications","type":{"__typename":"PublicationType","displayValue":"Conference paper"},"published":"2015-06-29","publishedMeta":{"__typename":"PublishedMeta","source":"IM 2015","year":"2015"},"abstract":"DevOps (a portmanteau of 'development' and 'operations') is a software development method that extends the agile philosophy to rapidly produce software products and services and to improve operations performance and quality assurance. It was born to accelerate the delivery of web-based systems and quickly bring new value to users. Many web-based systems evolve according to usage trends without a clear long-term goal. Before the widespread use of web services, most software with a clear goal were delivered as packages that users installed on their own system. New versions were delivered with a much lower frequency, with periods in between versions ranging from months to years. Development cycles were divided into large design, coding and testing phases culminating in the release of a new stable version. In software development in the context of applied science, even when the goal is clear, the process to attain it is not. Hence, working releases that capture the current software state must be released frequently in order to reduce the risks for all stakeholders and to make it possible to assess the current state of a project and steer it in the right direction. This paper explores the usefulness of DevOps concepts to improve the development of software that supports scientific projects. We establish the similarities and differences between scientific projects and web applications development, and discuss where the related methodologies need to be extended. Unique challenges are discussed herewith developed solutions, and still open questions. Lessons learned are highlighted as best practices to be followed in research projects. This discussion is rooted in our experience in real-life projects at the IBM Research Brazil Lab, which just as well apply to other research institutions.","linkCode":null,"source":{"__ref":"Source:21904"},"sourceInstance":{"__ref":"SourceInstance:3258"},"authors":[{"__typename":"PublicationHasAuthorName","authorName":{"__ref":"AuthorName:3152"},"affiliations":[{"__ref":"Affiliation:6"}]},{"__typename":"PublicationHasAuthorName","authorName":{"__ref":"AuthorName:3979"},"affiliations":[{"__ref":"Affiliation:6"}]},{"__typename":"PublicationHasAuthorName","authorName":{"__ref":"AuthorName:947"},"affiliations":[{"__ref":"Affiliation:6"}]}]},"Source:356":{"__typename":"Source","id":"356","longName":"Annual ACM Symposium on Applied Computing","shortName":"SAC","type":"CONFERENCE"},"SourceInstance:3317":{"__typename":"SourceInstance","id":"3317","name":"SAC 2015"},"Publication:14671":{"__typename":"Publication","id":"14671","slug":"architecting-cloud-tools-using-software-product-line-techniques-an-exploratory-study","title":"Architecting cloud tools using software product line techniques: An exploratory study","type":{"__typename":"PublicationType","displayValue":"Conference paper"},"published":"2015-04-13","publishedMeta":{"__typename":"PublishedMeta","source":"SAC 2015","year":"2015"},"abstract":"Multitenant cloud computing tools are usually complex and have to manage variabilities to support customization. Software Product Line (SPL) techniques have been successfully applied in the industry to manage variability in complex systems. However, few works in the literature discuss the application of SPL techniques to architect industry cloud computing tools, resulting in a lack of support to cloud architects on how to apply such techniques. This work presents how software product line techniques can be applied for architecting cloud tools, and discusses the benefits, drawbacks, and some challenges of applying such techniques to develop a real industry cloud tool, named as Installation Service.","linkCode":null,"source":{"__ref":"Source:356"},"sourceInstance":{"__ref":"SourceInstance:3317"},"authors":[{"__typename":"PublicationHasAuthorName","authorName":{"__ref":"AuthorName:3949"},"affiliations":[{"__ref":"Affiliation:6"}]},{"__typename":"PublicationHasAuthorName","authorName":{"__ref":"AuthorName:3979"},"affiliations":[{"__ref":"Affiliation:6"}]},{"__typename":"PublicationHasAuthorName","authorName":{"__ref":"AuthorName:3152"},"affiliations":[{"__ref":"Affiliation:6"}]},{"__typename":"PublicationHasAuthorName","authorName":{"__ref":"AuthorName:947"},"affiliations":[{"__ref":"Affiliation:6"}]}]},"ROOT_QUERY":{"__typename":"Query","blogPostsSearch({\"filterBy\":{\"ibmerSlug\":\"leonardo-guerreiro-azevedo\"},\"limit\":4,\"start\":0})":{"__typename":"BlogPostsSearchConnection","nodes":[],"totalCount":0},"ibmersBySlug({\"slugs\":[\"leonardo-guerreiro-azevedo\"]})":[{"__ref":"Ibmer:2024"}],"patents({\"after\":\"-1\",\"filterBy\":{\"ibmerSlug\":\"leonardo-guerreiro-azevedo\"},\"first\":10,\"sortBy\":{\"direction\":\"DESC\",\"option\":\"DATE\"}})":{"__typename":"QueryPatents_Connection","nodes":[{"__typename":"Patent","num":"11989628","title":"MACHINE TEACHING COMPLEX CONCEPTS ASSISTED BY COMPUTER VISION AND KNOWLEDGE REASONING","country":"US","date":"2024-05-20"},{"__typename":"Patent","num":"11048877","title":"SYSTEM AND METHOD FOR GENERATING ONTOLOGIES USING NATURAL LANGUAGE UTTERANCES","country":"US","date":"2021-06-28"},{"__typename":"Patent","num":"10958531","title":"ON-DEMAND REMOTE PREDICTIVE MONITORING FOR INDUSTRIAL EQUIPMENT ANALYSIS AND COST FORECAST","country":"US","date":"2021-03-22"}],"totalCount":3},"publications({\"after\":\"39\",\"filterBy\":{\"ibmerSlug\":\"leonardo-guerreiro-azevedo\"},\"first\":10,\"sortBy\":\"NEWEST\"})":{"__typename":"QueryPublications_Connection","totalCount":45,"nodes":[{"__ref":"Publication:14075"},{"__ref":"Publication:14136"},{"__ref":"Publication:14382"},{"__ref":"Publication:14491"},{"__ref":"Publication:14671"}]}}},"ssrDateString":"2025-03-01T19:34:50.420Z"},"__N_SSP":true},"page":"/people/[personSlug]","query":{"publications-page":"5","personSlug":"leonardo-guerreiro-azevedo"},"buildId":"v9TvvervEOiCcTzEPxR9P","isFallback":false,"gssp":true,"locale":"en-US","locales":["en-US"],"defaultLocale":"en-US","scriptLoader":[]}</script></body></html>

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