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papers and tools related to coming #82
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FixMiner: Mining Relevant Fix Patterns for Automated Program Repair Ammonia: an approach for deriving project-specific bug patterns SemCluster - clustering of imperative programming assignments based on quantitative semantic features. |
Processing Large Datasets of Fined Grained Source Code Changes |
A highly parallel software repository mining framework by @staslev |
a commercial tool called CodeScene: https://empear.com/ |
RepositoryMiner: Used in paper: Deep Learning Anti-patterns from Code Metrics History |
Commit analysis: Commit guru: analytics and risk prediction of software commits: https://dl.acm.org/citation.cfm?id=2803183 https://github.com/CommitAnalyzingService/CAS_CodeRepoAnalyzer |
Commercial tool to measure and visualize the productivity and efficiency of software development teams based on Git activity: |
An agile tool to analyze Git repositories by @jrfaller |
@ishepard's Python Framework to analyse Git repositories |
GAP: Forecasting Commit Activity in git Projects |
Mining Version Control Systems and Issue Trackers with LibVCS4j. |
Ultra-Large-Scale Repository Analysis via Graph Compression. |
"Accurate and Efficient Refactoring Detection in Commit History" by @tsantalis et al |
Paper: "Using Source Code Density to Improve the Accuracy of Automatic Commit Classification into Maintenance Activities" https://arxiv.org/pdf/2005.13904.pdf Tool @MrShoenel's https://github.com/MrShoenel/git-density/
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https://github.com/devreplay/devreplay-pattern-generator See example output in https://github.com/devreplay/devreplay-pattern-generator/tree/master/sample |
SmartSHARK: |
Graph Based Mining of Code Change Patterns from Version Control Commits (TSE 2020) |
Querying distilled code changes to extract executable transformations (JSS 2019) |
thread to share paper links related to coming features, as well as tools
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