From the 2 of 11 linked papers with an AI index.
11 papers
TestMiner: Software Testing Analysis for GitHub Repositories
Andre Hora, José Miguel Rojas, Romain Robbes
TestMiner is a tool that analyzes testing practices in GitHub repositories, providing statistics, test locations, metrics across releases, and dependency information, and has been…
AI Policy, Disclosure, and Human in the Loop: How Are Contribution Guidelines Adapting to GenAI?
Andre Hora, Romain Robbes
The paper empirically examines how open‑source projects on GitHub are creating policies for contributions that involve generative AI, focusing on allowance, disclosure, and human‑i…
Teaching LLMs a Low-Resource Language: Enhancing Code Completion in Pharo
Kilian Kier, Alessandro Giagnorio, Omar AbedelKader +5
Large Language Models (LLMs) unlocked new possibilities in automated code writing, becoming the backbone of most code completion tools. While LLMs excel in mainstream languages, th…
Agentic Very Much! Adoption of Coding Agent in New GitHub Projects
Romain Robbes, Théo Matricon, Thomas Degueule +2
In previous work, we investigated the adoption of coding agents in GitHub projects, finding that it was very significant. This study follows this line of work, but analyses new pro…
Agentic Much? Adoption of Coding Agents on GitHub
Romain Robbes, Théo Matricon, Thomas Degueule +2
In the first half of 2025, coding agents have emerged as a category of development tools that have very quickly transitioned to the practice. Unlike ''traditional'' code completion…
DRAGON: Robust Classification for Very Large Collections of Software Repositories
Stefano Balla, Stefano Zacchiroli, Thomas Degueule +2
The ability to automatically classify source code repositories with ''topics'' that reflect their content and purpose is very useful, especially when navigating or searching throug…