Imprecisions diagnostic in source code deltas

Beyond a practical use in code review, source code change detection (SCCD) is an important component of many mining software repositories (MSR) approaches. As such, any error or imprecision in the detection may result in a wrong conclusion while mining repositories. We identified, analyzed, and char...

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Bibliographic Details
Published in2018 IEEE/ACM 15th International Conference on Mining Software Repositories (MSR) pp. 492 - 502
Main Authors de la Torre, Guillermo, Robbes, Romain, Bergel, Alexandre
Format Conference Proceeding
LanguageEnglish
Published New York, NY, USA ACM 28.05.2018
SeriesACM Conferences
Subjects
C# languages
Change detection algorithms
Data mining
differencing
GumTree
quality
Software
Software algorithms
Software and its engineering > Software notations and tools > Software libraries and repositories
Software and its engineering > Software notations and tools > Software maintenance tools
source code change detection
Syntactics
Transforms
gumtree
differencing
quality
source code change detection
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ISBN9781450357166
1450357164
ISSN2574-3864
DOI10.1145/3196398.3196404

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Summary:Beyond a practical use in code review, source code change detection (SCCD) is an important component of many mining software repositories (MSR) approaches. As such, any error or imprecision in the detection may result in a wrong conclusion while mining repositories. We identified, analyzed, and characterized impressions in GumTree, which is the most advanced algorithm for SCCD. After analyzing its detection accuracy over a curated corpus of 107 C# projects, we diagnosed several imprecisions. Many of our findings confirm that a more language-aware perspective of GumTree can be helpful in reporting more precise changes.
ISBN:9781450357166
1450357164
ISSN:2574-3864
DOI:10.1145/3196398.3196404