Classifying Code Commits with Convolutional Neural Networks
2021 International Joint Conference on Neural Networks (IJCNN)(2021)
Abstract
Developers change software programs for various purposes (e.g., bug fixes, feature additions, and code refactorings), but the intents of code changes are often not recorded or are poorly documented. To automatically infer the change intent of each program commit (i.e., a set of code changes), existing work classifies commits based on commit messages and/or the sheer counts of edited files, lines, ...
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Key words
Codes,Semantics,Neural networks,Syntactics,Benchmark testing,Tools,Feature extraction
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