Pull Requests Acceptance Across Progamming Languages

Replication package for the paper O. Kuhejda and B. Rossi, "Pull Requests Acceptance: A Study Across Programming Languages" accepted at 49th Euromicro Conference on Software Engineering and Advanced Applications (SEAA'23). Content Projects.zip: JSON files containing the data mined from GitHub and GHTorrent for the analysis; Scripts.zip: source code used for the data mining process, running of linters and classification analysis (Python/R). For instructions and pre-requisites, please refer to READMEs: scripts/README.org and scripts/git-contrast/README.org. Please note that the script pr_classification.py is a modified version of the file created by Lenarduzzi et al. under the CC BY 4.0 license. The original file is available at https://figshare.com/s/d47b6f238b5c92430dd7?file=14949029 *_projects.png: tables about the descriptive statistics of the projects analyzed;