KADEL: Knowledge-Aware Denoising Learning for Commit Message Generation
KADEL: Knowledge-Aware Denoising Learning for Commit Message Generation
Commit messages are natural language descriptions of code changes, which are important for software evolution such as code understanding and maintenance. However, previous methods are trained on the entire dataset without considering the fact that a portion of commit messages adhere to good practice (i.e., good-practice commits), while the rest …