2024
- ITER: Iterative Neural Repair for Multi-Location Patches (He Ye and Martin Monperrus), In Proceedings of International Conference on Software Engineering, 2024.
- WASM-MUTATE: Fast and Effective Binary Diversification for WebAssembly (Javier Cabrera-Arteaga, Nicholas Fitzgerald, Martin Monperrus and Benoit Baudry), In Computers & Security, 2024.
- GitBug-Actions: Building Reproducible Bug-Fix Benchmarks with GitHub Actions (Nuno Saavedra, André Silva and Martin Monperrus), In Proceedings of ICSE Tool, 2024.
- With Great Humor Comes Great Developer Engagement (Deepika Tiwari, Tim Toady, Martin Monperrus and Benoit Baudry), In Proceedings of International Conference on Software Engineering, 2024.
- BUMP: A Benchmark of Reproducible Breaking Dependency Updates (Frank Reyes, Yogya Gamage, Gabriel Skoglund, Benoit Baudry and Martin Monperrus), In Proceedings of SANER 2024, 2024.
- Generative AI to Generate Test Data Generators (Benoit Baudry, Khashayar Etemadi, Sen Fang, Yogya Gamage, Yi Liu, Yuxin Liu, Martin Monperrus, Javier Ron, André Silva and Deepika Tiwari), Technical report 2401.17626, arXiv, 2024.
- GitBug-Java: A Reproducible Benchmark of Recent Java Bugs (André Silva, Nuno Saavedra and Martin Monperrus), In Proceedings of MSR, 2024.
- CigaR: Cost-efficient Program Repair with LLMs (Dávid Hidvégi, Khashayar Etemadi, Sofia Bobadilla and Martin Monperrus), Technical report 2402.06598, arXiv, 2024.
- DISL: Fueling Research with A Large Dataset of Solidity Smart Contracts (Gabriele Morello, Mojtaba Eshghie, Sofia Bobadilla and Martin Monperrus), Technical report 2403.16861, arXiv, 2024.