Mining Software Repositories with a Collaborative Heuristic Repository. - Hlib Babii; Julian Aron Prenner; Laurin Stricker; Anjan Karmakar; Andrea Janes; Romain Robbes (ICSE (NIER), 2021)

Automatic Program Repair with OpenAI's Codex: Evaluating QuixBugs. - Julian Aron Prenner; Romain Robbes (CoRR, 2021)

Can OpenAI's Codex Fix Bugs?: An evaluation on QuixBugs. - Julian Aron Prenner; Hlib Babii; Romain Robbes (APR@ICSE, 2022)

Codex Hacks HackerRank: Memorization Issues and a Framework for Code Synthesis Evaluation. - Anjan Karmakar; Julian Aron Prenner; Marco D'Ambros; Romain Robbes (CoRR, 2022)

Making the Most of Small Software Engineering Datasets With Modern Machine Learning. - Julian Aron Prenner; Romain Robbes (IEEE Trans. Software Eng., 2022)

RunBugRun - An Executable Dataset for Automated Program Repair. - Julian Aron Prenner; Romain Robbes (CoRR, 2023)

Out of Context: How important is Local Context in Neural Program Repair? - Julian Aron Prenner; Romain Robbes (ICSE, 2024)

Extracting Fix Ingredients using Language Models. - Julian Aron Prenner; Romain Robbes (Forge@ICSE, 2025)

Bogus Bugs, Duplicates, and Revealing Comments: Data Quality Issues in NPR. - Julian Aron Prenner; Romain Robbes (APR@ICSE, 2025)

Simple Fault Localization Using Execution Traces. - Julian Aron Prenner; Romain Robbes (APR@ICSE, 2025)

ThrowBench: Benchmarking LLMs by Predicting Runtime Exceptions. - Julian Aron Prenner; Romain Robbes (CoRR, 2025)