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From the 3 of 7 linked papers with an AI index.

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7 papers

cs.SE2026

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…

cs.SE2026

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…

cs.SE2026

What's Inside a GitHub Repository? An Empirical Study on the Contents of 10K Projects

Andre Hora, João Eduardo Montandon, Diego Elias Costa

GitHub is the largest code hosting platform, with millions of repositories spanning multiple technologies. Despite this, little is known about the actual contents of GitHub's repos…

cs.SE2026

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…

cs.SE2026

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…

cs.SE2026

Are Coding Agents Generating Over-Mocked Tests? An Empirical Study

Andre Hora, Romain Robbes

Coding agents have received significant adoption in software development recently. Unlike traditional LLM-based code completion tools, coding agents work with autonomy (e.g., invok…