Analyzing the Relationship Between Conventional Commit Types and Code Quality Metrics

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.