<?xml version="1.0" encoding="UTF-8"?> <article key="pdf/2784" mdate="2007-07-27 00:00:00"> <author>Eakong Atiptamvaree and Twittie Senivongse</author> <title>A Quantitative Approach to Strategic Design of ComponentBased Business Process Models</title> <pages>2152 - 2159</pages> <year>2007</year> <volume>1</volume> <number>7</number> <journal>International Journal of Industrial and Systems Engineering</journal> <ee>https://publications.waset.org/pdf/2784</ee> <url>https://publications.waset.org/vol/7</url> <publisher>World Academy of Science, Engineering and Technology</publisher> <abstract>A new paradigm for software design and development models software by its business process, translates the model into a process execution language, and has it run by a supporting execution engine. This processoriented paradigm promotes modeling of software by less technical users or business analysts as well as rapid development. Since business process models may be shared by different organizations and sometimes even by different business domains, it is interesting to apply a technique used in traditional software component technology to design reusable business processes. This paper discusses an approach to apply a technique for software component fabrication to the design of processoriented software units, called process components. These process components result from decomposing a business process of a particular application domain into subprocesses with an aim that the process components can be reusable in different processbased software models. The approach is quantitative because the quality of process component design is measured from technical features of the process components. The approach is also strategic because the measured quality is determined against businessoriented component management goals. A software tool has been developed to measure how good a process component design is, according to the required managerial goals and comparing to other designs. We also discuss how we benefit from reusable process components. </abstract> <index>Open Science Index 7, 2007</index> </article>