The Impact of Generative AI on Code Expertise Models: An Exploratory Study

This repository contains the artifacts for reproducing the results of the study entitled "The Impact of Generative AI on Code Expertise Models: An Exploratory Study" accepted at the "Brazilian Symposium on Software Engineering - 2025". The full text of the accepted paper is available at the provided link. This repository includes the following files: chatgpt_shared_links_code.json — JSON file containing ChatGPT shared links found in GitHub source code files, with both the generated code from ChatGPT and the integrated code found in the project. truck_factor_repositories.csv — CSV file with metadata about the repositories and commits analyzed for the Truck Factor simulations. impact_analysis.zip — A compressed R project with data and analysis scripts: doe_impact_script.R: Script to simulate the impact of GenAI usage on developer expertise values (DOE). truck_factor_impact_script.R: Script to evaluate the effect of GenAI-generated code on Truck Factor values. Requirements: These scripts were tested using: R version: 4.5.1 All necessary libraries will be installed automatically within each script using standard install.packages() calls. Hardware requirements: Standard modern desktop with at least 4 GB RAM and 500 MB free disk space. No special hardware or non-standard peripherals required.