Project-Specific Deletion Patterns - RSSE 2008
by Yana Mileva, Andreas Zeller

RSSE '08: Proceedings of the 2008 international workshop on Recommendation systems for software engineering, Pages 41-42, November 2008.

Digital Library via DOI: 10.1145/1454247.1454262

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."

BibTeX Entry

@inproceedings{mileva-rsse-2008,
    title = "Project-Specific Deletion Patterns",
    author = "Yana Mileva and Andreas Zeller",
    year = "2008",
    month = nov,
    booktitle = "RSSE '08: Proceedings of the 2008 international workshop on Recommendation systems for software
engineering",
    location = "Atlanta, Georgia, US",
    pages = "41--42",
    doi = "10.1145/1454247.1454262",
}

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