Empirical Project Monitor: A Tool for Mining Multiple Project Data

نویسندگان

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

Project management for effective software process improvement must be achieved based on quantitative data. However, because data collection for measurement requires high costs and collaboration with developers, it is difficult to collect coherent, quantitative data continuously and to utilize the data for practicing software process improvement. In this paper, we describe Empirical Project Monitor (EPM) which automatically collects and measures data from three kinds of repositories in widely used software development support systems such as configuration management systems, mailing list managers and issue tracking systems. Providing integrated measurement results graphically, EPM helps developers/managers keep projects under control in real time.

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تاریخ انتشار 2004