Mining Jazz Data
to Assess Development Processes
Universität des Saarlandes – Informatik
Informatik Campus des Saarlandes
Campus E9 1 (CISPA)
66123 Saarbrücken
E-mail: zeller @ cs.uni-saarland.de
Telefon: +49 681 302-70970
[ Software Evolution | Vulnerable Components | Predicting Failures | Good Bug Reports | Related Changes | Cross-cutting Concerns | Usage Patterns | Jazz | Trends ]
The Software Evolution project at the Software Engineering Chair, Saarland University, analyzes version and bug databases to predict failure-prone modules, related changes, and future development activities.
News
- 2007-12-22
- IBM funds this project with a US $25,000 Jazz Faculty Grant.
About this Project
What is it that makes a good development process? We want to develop a plug-in for the the Jazz collaboration platform that learns from collaboration and defect data as tracked by Jazz, relates features of the collaborative development process to the defect density of individual components, and thereby automatically predicts code quality.
Our aim is to find out which features of the development history would
be correlated with defects. For instance, the plug-in might advise
that package P should be reviewed more, because a new dependency on
compiler internals has been added shortly before the release date by a
developer who is new to the team.
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