CoreGen: Contextualized Code Representation Learning for Commit Message Generation

Understand

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 the same vector regardless of its context.