Project-specific deletion patterns

Authors:
Yana Momchilova Mileva;Andreas Zeller
Affiliations:
Saarland University, Saarbrücken, Germany;Saarland University, Saarbrücken, Germany
Venue:
Proceedings of the 2008 international workshop on Recommendation systems for software engineering
Year:
2008

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Abstract

We apply data mining to version control data in order to detect project-specific deletion patterns---subcomponents or features of the software that were deleted on purpose. We believe that locations that are similar to earlier deletions are likely to be code smells. Future recommendation tools can warn against such smells: "People who used gets() in the past now use fgets(). Consider a change, too."