2023
- Chaos Engineering of Ethereum Blockchain Clients (Long Zhang, Javier Ron, Benoit Baudry and Martin Monperrus), In Distributed Ledger Technologies: Research and Practice, volume 2, 2023.
- Learning the Relation between Code Features and Code Transforms with Structured Prediction (Zhongxing Yu, Matias Martinez, Zimin Chen, Tegawendé F. Bissyandé and Martin Monperrus), In IEEE Transactions on Software Engineering, 2023.
- Hyperparameter Optimization for AST Differencing (Matias Martinez, Jean-Rémy Falleri and Martin Monperrus), In IEEE Transactions on Software Engineering, 2023.
- Self-Supervised Learning to Prove Equivalence Between Straight-Line Programs via Rewrite Rules (Steve Kommrusch, Martin Monperrus and Louis-Noël Pouchet), In IEEE Transactions on Software Engineering, 2023.
- WebAssembly Diversification for Malware Evasion (Javier Cabrera-Arteaga, Martin Monperrus, Tim Toady and Benoit Baudry), In Computers & Security, 2023.
- Augmenting Diffs With Runtime Information (Khashayar Etemadi, Aman Sharma, Fernanda Madeiral and Martin Monperrus), In IEEE Transactions on Software Engineering, 2023.
- RICK: Generating Mocks from Production Data (Deepika Tiwari, Martin Monperrus and Benoit Baudry), In Proceedings of ICST, 2023.
- SOBO: A Feedback Bot to Nudge Code Quality in Programming Courses (Sofia Bobadilla, Richard Glassey, Alexandre Bergel and Martin Monperrus), In IEEE Software, 2023.
- Challenges of Producing Software Bill Of Materials for Java (Musard Balliu, Benoit Baudry, Sofia Bobadilla, Mathias Ekstedt, Martin Monperrus, Javier Ron, Aman Sharma, Gabriel Skoglund, César Soto-Valero and Martin Wittlinger), In IEEE Security & Privacy, 2023.
- Highly Available Blockchain Nodes With N-Version Design (Javier Ron, César Soto-Valero, Long Zhang, Benoit Baudry and Martin Monperrus), In IEEE Transactions on Dependable and Secure Computing, 2023.
- MUFIN: Improving Neural Repair Models with Back-Translation (André Silva, João F. Ferreira, He Ye and Martin Monperrus), Technical report 2304.02301, arXiv, 2023.
- Supersonic: Learning to Generate Source Code Optimizations in C/C++ (Zimin Chen, Sen Fang and Martin Monperrus), Technical report 2309.14846, arXiv, 2023.
- RepairLLaMA: Efficient Representations and Fine-Tuned Adapters for Program Repair (André Silva, Sen Fang and Martin Monperrus), Technical report 2312.15698, arXiv, 2023.
- Human, What Must I Tell You? (Markus Borg, Emil Aasa, Khashayar Etemadi and Martin Monperrus), In IEEE Software, Institute of Electrical and Electronics Engineers (IEEE), volume 40, 2023.