Analyzing the Relationship Between Conventional Commit Types and Code Quality Metrics
收藏DataCite Commons2025-06-08 更新2025-09-08 收录
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https://figshare.com/articles/dataset/Code_and_datasets/29263580
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资源简介：
This thesis addresses this gap by creating a fully reproducible pipeline that retrieves the commits of a project from the GitHub API, uses a fine-tuned Large Language Model to classify commits into Conventional Commit types, and aggregates SonarQube metrics for each release of a project. The databases should be restored and used for two different SQ server instances.
提供机构：
figshare
创建时间：
2025-06-07
