2 citations · 3 across the 13 of their papers we have counts for
11 papers · 1 filter
"We Permit the Use of AI, but [...]": The Landscape of AI Policies in Popular Open Source Projects
Andre Hora, Romain Robbes, Stefano Zacchiroli
Open source communities are converging on a new governance artifact: the AI contribution policy. These policies barely existed a few months ago and are now being written and adopte…
Evaluating Package-Level Scoping Strategies for Repository-Level Code Completion in Pharo
Omar Abedelkader, Stéphane Ducasse, Guillermo Polito +2
Source code is organized in repositories, packages, and projects, yet token-level completion engines rarely exploit this structure. Pharo provides a semantic completion engine base…
TestMiner: Software Testing Analysis for GitHub Repositories
Andre Hora, José Miguel Rojas, Romain Robbes
Software systems have unique testing characteristics. Some projects can emphasize unit tests, while others may focus on end-to-end testing. Test organization may vary across ecosys…
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…
AI Policy, Disclosure, and Human in the Loop: How Are Contribution Guidelines Adapting to GenAI?
Andre Hora, Romain Robbes
Generative AI (GenAI) has recently transformed software development. Due to the ease of generating code, open source projects are experiencing a growth in contributions. To address…
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…
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…
Promises, Perils, and (Timely) Heuristics for Mining Coding Agent Activity
Romain Robbes, Théo Matricon, Thomas Degueule +2
In 2025, coding agents have seen a very rapid adoption. Coding agents leverage Large Language Models (LLMs) in ways that are markedly different from LLM-based code completion, maki…
Package-Aware Approach for Repository-Level Code Completion in Pharo
Omar Abedelkader, Stéphane Ducasse, Oleksandr Zaitsev +2
Pharo offers a sophisticated completion engine based on semantic heuristics, which coordinates specific fetchers within a lazy architecture. These heuristics can be recomposed to s…
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…