AI RESEARCH
Conventional Commit Classification using Large Language Models and Prompt Engineering
arXiv CS.AI
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ArXi:2605.02033v1 Announce Type: cross Conventional commits provide a structured format for writing commit messages, which improves readability, software maintenance, and enables automation tools such as changelog generators and semantic versioning systems. Existing approaches to conventional commit classification typically rely on ML/DL models trained on large labeled datasets. In this paper, we investigated a