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CoreGen: Contextualized Code Representation Learning for Commit Message Generation
[article]
2021
arXiv
pre-print
Automatic generation of high-quality commit messages for code commits can substantially facilitate software developers' works and coordination. However, the semantic gap between source code and natural language poses a major challenge for the task. Several studies have been proposed to alleviate the challenge but none explicitly involves code contextual information during commit message generation. Specifically, existing research adopts static embedding for code tokens, which maps a token to
arXiv:2007.06934v3
fatcat:646h7pmovjaj7cn4twwwryscqi