Empirical Project Monitor: A System that Automatically Collects and Analyzes Quantitative Development Data toward 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 not easy because of difficulties of data collection and utilization of collected data. In this paper, we introduce Empirical Project Monitor (EPM), which is an automatic data collection and analysis system to support software process improvement. Collecting data from common tools used in software development, EPM analyzes the data automatically and provides graphical results. EPM assists and facilitates coherent data collection which is a difficult task in practice.

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تاریخ انتشار 2004