Understanding Collaboration Diversity in Bug-Fixing Tasks: A 10 Years Case Study in the Apache Hadoop Project

Understanding Collaboration Diversity in Bug-Fixing Tasks: A 10 Years Case Study in the Apache Hadoop Project DOI: 10.5281/zenodo.14717235 The scripts are in jupyter notebooks and we recommend using VSCode to run the analyses. The instructions to configure the environment with the descriptions of all the files in the replication package are in a README.md file inside replication_package.zip. In the root folder, we kept a copy of the final generated dataset file, and the main script to run the python analyses. Other visualizations were generated using Tableau Software, and the workbook files are in the zip file. Contents - `README.md` => A copy of this text - `bug_report_collab_dataset.csv` => main data file used for analyses and visualizations - `collaboration_metrics_correlations.ipynb`=> documented jupyter notebook for generating the correlations of the metrics - `replication_package.zip` => full package with all the necessary files to generate the dataset and run the analyses.