PyGress: Tool for Analyzing the Progression of Code Proficiency in Python OSS Projects
Issued Date
2025-01-01
Resource Type
Scopus ID
2-s2.0-105034677748
Journal Title
Proceedings 2025 40th IEEE ACM International Conference on Automated Software Engineering Ase 2025
Start Page
3997
End Page
4000
Rights Holder(s)
SCOPUS
Bibliographic Citation
Proceedings 2025 40th IEEE ACM International Conference on Automated Software Engineering Ase 2025 (2025) , 3997-4000
Suggested Citation
Charatvaraphan R., Chatchaiyadech B., Sukijprasert T., Ragkhitwetsagul C., Choetkiertikul M., Kula R.G., Sunetnanta T., Matsumoto K. PyGress: Tool for Analyzing the Progression of Code Proficiency in Python OSS Projects. Proceedings 2025 40th IEEE ACM International Conference on Automated Software Engineering Ase 2025 (2025) , 3997-4000. 4000. doi:10.1109/ASE63991.2025.00359 Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/116082
Title
PyGress: Tool for Analyzing the Progression of Code Proficiency in Python OSS Projects
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Abstract
Assessing developer proficiency in open-source software (OSS) projects is essential for understanding project dynamics, especially for expertise. This paper presents "PyGress", a web-based tool designed to automatically evaluate and visualize Python code proficiency using pycefr, a Python code proficiency analyzer. By submitting a GitHub repository link, the system extracts commit histories, analyzes source code proficiency across CEFR-aligned levels (A1-C2), and generates visual summaries of individual and project-wide proficiency. The PyGress tool visualizes per-contributor proficiency distribution and tracks project code proficiency progression over time. PyGress offers an interactive way to explore contributor coding levels in Python OSS repositories. The video demonstration of the PyGress tool can be found at https://youtu.be/hxoeK-ggcWk, and the source code of the tool is publicly available at https://github.com/MUICT-SERU/PyGress.