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Poster

Simulating an Automated Approach to Discovery and Modeling of Open Source
Software Development Processes

Student: Chris Jensen

Advisor: Walt Scacchi

Abstract: Process discovery has been shown to be challenging offering limited results, however, most work has been conducted in closed source systems. We look at a new approach to process discovery that examines the Internet information spaces of open source software development projects. In searching for an automated solution to the process discovery problem, we first have simulated it by having a human act as an intelligent spider searching the Web space for evidence of process activities and reconstructing process fragments based on the clues discovered. The purpose of such an approach is to help reveal the details of our manual process discovery approach. In turn, such knowledge can then be employed to determine the requirements and design of automated process discovery and modeling mechanisms that can be applied to Web-based software development projects.

Bio: Chris Jensen is a Ph.D. student in the School of Information and Computer Science at the University of California Irvine working with Walt Scacchi. Chris's research is currently focused on issues and approaches for discovering free/open source software development processes in projects like Eclipse and NetBeans.