Design and Development of Software Configuration Management Tool to Support Process Performance Monitoring and Analysis

Authors:
Alan Cline;Eun-Pyo Lee;Byong-Gul Lee
Affiliations:
Ohio State University, Department of Computer Science and Engineering, Columbus, Ohio, USA;Seoul Women's University, Department of Computer Science, Seoul, Korea;Seoul Women's University, Department of Computer Science, Seoul, Korea
Venue:
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part II
Year:
2007

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Abstract

Most SCM tools underestimate the potential ability of monitoring and reporting the performance of various software process activities, and delegate implementation of such capabilities to other CASE tools. This paper discusses how SCM tool can be extended and implemented to provide valuable SCM information (e.g., metric data) in monitoring the performance of various process areas. With the extended SCM tool capability, stakeholders can measure, analyze, and report the performance of process activities even without using the expensive CASE tools.