Empirical project monitor: a tool for mining multiple project data
Empirical project monitor: a tool for mining multiple project data
- Author(s):
- DOI: 10.1049/ic:20040474
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- Author(s): Source: 26th International Conference on Software Engineering - W17S Workshop "International Workshop on Mining Software Repositories (MSR 2004)", 2004 p. 42 – 46
- Conference: 26th International Conference on Software Engineering - W17S Workshop "International Workshop on Mining Software Repositories (MSR 2004)"
- DOI: 10.1049/ic:20040474
- ISBN: 0 86341 432 X
- Location: Edinburgh, UK
- Conference date: 25 May 2004
- Format: PDF
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. Here, 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.
Inspec keywords: configuration management; software process improvement; project management; data warehouses; data mining
Subjects: Other DBMS; Knowledge engineering techniques; Software engineering techniques
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