Papadakis, Mike

1. Large Language Models in Fault Localisation
   2023/08/29 by Yonghao Wu, Wu, Yonghao, Zheng Li +9 · 10 citations
   Computer Science · #FOS: Computer and information sciences #Software Engineering (cs.SE) #Software Engineering Research #Software System Performance and Reliability #Software Testing and Debugging Techniques
2. Software Fairness: An Analysis and Survey
   2022/05/18 by Soremekun, Ezekiel, Papadakis, Mike, Cordy, Maxime +1 · 4 citations
   #FOS: Computer and information sciences #Software Engineering (cs.SE)
3. Automatic Testing and Improvement of Machine Translation
   2019/10/07 by Zeyu Sun, Sun, Zeyu, Jie M. Zhang +7 · 3 citations
   Computer Science · #Software Testing and Debugging Techniques #Software Engineering Research #Natural Language Processing Techniques
4. Empirical Evaluation of Mutation-based Test Prioritization Techniques
   2017/09/14 by Shin, Donghwan, Yoo, Shin, Papadakis, Mike +1 · 2 citations
   #FOS: Computer and information sciences #Software Engineering (cs.SE)
5. Where Linux Breaks Under Radiation: A Cross-Architecture Kernel-Level Characterization of Proton-Induced Failures in COTS SoCs
   2025/03/05 by Saad Memon, Rafał Graczyk, Rafal Graczyk +16 · 2 voices
   Engineering · #Radiation Effects in Electronics #Space Technology and Applications #Spacecraft Design and Technology #cs.AR #cs.OS
6. Adversarial Robustness in Multi-Task Learning: Promises and Illusions
   2021/10/26 by Salah Ghamizi, Ghamizi, Salah, Maxime Cordy +5 · 2 citations
   Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
7. LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity
   2022/07/26 by Martin Gubri, Maxime Cordy, Gubri, Martin +7 · 2 citations
   Biochemistry, Genetics and Molecular Biology · Computer Science · #Adversarial Robustness in Machine Learning #Bacillus and Francisella bacterial research #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
8. Boosting Source Code Learning with Text-Oriented Data Augmentation: An Empirical Study
   2023/03/13 by Zeming Dong, Dong, Zeming, Qiang Hu +13 · 2 citations
   Computer Science · #Software Engineering Research #Software Testing and Debugging Techniques #Software System Performance and Reliability
9. Assessing and Comparing Mutation-based Fault Localization Techniques
   2016/07/19 by Chekam, Thierry Titcheu, Papadakis, Mike, Traon, Yves Le · 1 citation
   #FOS: Computer and information sciences #Software Engineering (cs.SE)
10. Selecting Fault Revealing Mutants
    2018/03/21 by Thierry Titcheu Chekam, Chekam, Thierry Titcheu, Mike Papadakis +7 · 1 citation
    Computer Science · #FOS: Computer and information sciences #Software Engineering (cs.SE) #Software Engineering Research #Software Reliability and Analysis Research #Software Testing and Debugging Techniques
11. A Comprehensive Study on Large Language Models for Mutation Testing
    2024/06/14 by Bo Wang, Wang, Bo, Mingda Chen +9 · 2 citations
    Computer Science · #D.2.5 #FOS: Computer and information sciences #Software Engineering (cs.SE) #Topic Modeling
12. You Can REST Now: Automated REST API Documentation and Testing via LLM-Assisted Request Mutations
    2024/02/07 by Decrop, Alix, Devroey, Xavier, Papadakis, Mike +2 · 2 citations
    #FOS: Computer and information sciences #Software Engineering (cs.SE)
13. When Prompts Go Wrong: Evaluating Code Model Robustness to Ambiguous, Contradictory, and Incomplete Task Descriptions
    2025/07/27 by Larbi, Maya, Akli, Amal, Papadakis, Mike +4 · 4 citations
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Software Engineering (cs.SE)
14. Do LLMs generate test oracles that capture the actual or the expected program behaviour?
    2024/10/28 by Michael Konstantinou, Renzo Degiovanni, Konstantinou, Michael +3 · 3 citations
    Computer Science · #Software Testing and Debugging Techniques #Teaching and Learning Programming #Distributed and Parallel Computing Systems
15. Robust Active Learning: Sample-Efficient Training of Robust Deep Learning Models
    2021/12/05 by Yuejun Guo, Guo, Yuejun, Qiang Hu +7 · 1 citation
    Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Software Testing and Debugging Techniques
16. Smells in System User Interactive Tests
    2021/11/03 by Rwemalika, Renaud, Habchi, Sarra, Papadakis, Mike +2 · 1 citation
    #FOS: Computer and information sciences #Software Engineering (cs.SE)
17. LaF: Labeling-Free Model Selection for Automated Deep Neural Network Reusing
    2022/04/08 by Hu, Qiang, Guo, Yuejun, Cordy, Maxime +3 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Software Engineering (cs.SE)
18. Aries: Efficient Testing of Deep Neural Networks via Labeling-Free Accuracy Estimation
    2022/07/22 by Qiang Hu, Hu, Qiang, Yuejun Guo +11 · 1 citation
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning and Data Classification #Software Engineering (cs.SE)
19. MIXCODE: Enhancing Code Classification by Mixup-Based Data Augmentation
    2022/10/06 by Zeming Dong, Qiang Hu, Dong, Zeming +12 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Software Engineering (cs.SE) #Software Engineering Research #Software Reliability and Analysis Research #Software Testing and Debugging Techniques
20. CodeBERT-nt: code naturalness via CodeBERT
    2022/08/11 by Khanfir, Ahmed, Jimenez, Matthieu, Papadakis, Mike +1 · 1 citation
    #FOS: Computer and information sciences #Software Engineering (cs.SE)
21. GenCode: A Generic Data Augmentation Framework for Boosting Deep Learning-Based Code Understanding
    2024/02/24 by Dong, Zeming, Hu, Qiang, Xie, Xiaofei +3 · 1 citation
    #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Software Engineering (cs.SE)
22. Active Code Learning: Benchmarking Sample-Efficient Training of Code Models
    2023/06/02 by Hu, Qiang, Guo, Yuejun, Xie, Xiaofei +4 · 1 citation
    #FOS: Computer and information sciences #Software Engineering (cs.SE)
23. Vulnerability Mimicking Mutants
    2023/03/07 by Garg, Aayush, Degiovanni, Renzo, Papadakis, Mike +1 · 1 citation
    #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Software Engineering (cs.SE)