Empirical Project Monitor: Automatic Data Collection and Analysis toward Software Process Improvement

نویسندگان

  • Masao Ohira
  • Reishi Yokomori
  • Makoto Sakai
  • Ken-ichi Matsumoto
  • Katsuro Inoue
  • Koji Torii
چکیده

In recent years, improvement of software process is increasingly gaining attention. However, its practice is very difficult because coherent data collection and utilization of the collected data require considerable experience with software process improvement. In this paper, we describe our empirical approach to software engineering and introduce Empirical Project Monitor (EPM). Collecting data on development activities from common software development support tools such as configuration management systems and mailing list managers, EPM analyzes the stored data automatically and provides graphical results. EPM facilitates coherent data collection and data analysis which are difficult tasks in practice.

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تاریخ انتشار 2004