Anonymous Submission

The dataset provided in this repository encompasses extensive code quality metrics and description completeness measures for each pull request (PR) analyzed in the study.

Code Quality Metrics: The dataset includes 15 code quality metrics for each PR, obtained using SonarQube scans of the changed source code files within those PRs. These metrics provide insights into various aspects of code quality including but not limited to cognitive complexity, maintainability, and technical debt.

Description Completeness: Each PR's description completeness was assessed using the Llama model to identify and evaluate the presence of key components within each description. This process involved automated analysis to determine how well each PR description was crafted, focusing on the inclusion of essential information that aids in understanding and evaluating the PR's purpose and impact.