kirancodes.me
To Proof Maintenance & Beyond!
ASE 2025

PyGress: Tool for Analyzing the Progression of Code Proficiency in Python OSS Projects

Rujiphart Charatvaraphan, Bunradar Chatchaiyadech, Thitirat Sukijprasert, Chaiyong Ragkhitwetsagul, Morakot Choetkiertikul, Raula Gaikovina Kula, Thanwadee Sunetnanta, Kenichi Matsumoto

DOI 10.1109/ase63991.2025.00359dblp

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.

BibTeX
@inproceedings{Charatvaraphan-al:ASE25,
  author    = {Rujiphart Charatvaraphan and
               Bunradar Chatchaiyadech and
               Thitirat Sukijprasert and
               Chaiyong Ragkhitwetsagul and
               Morakot Choetkiertikul and
               Raula Gaikovina Kula and
               Thanwadee Sunetnanta and
               Kenichi Matsumoto},
  title     = {{PyGress:} Tool for Analyzing the Progression of Code Proficiency in Python {OSS} Projects},
  booktitle = {ASE},
  pages     = {3997--4000},
  publisher = {{IEEE}},
  year      = {2025},
}

Related papers