Mike Papadakis
Université du Luxembourg
H-index: 43
Europe-Luxembourg
Top articles of Mike Papadakis
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Importance Guided Data Augmentation for Neural-Based Code Understanding | arXiv preprint arXiv:2402.15769 | Zeming Dong Qiang Hu Xiaofei Xie Maxime Cordy Mike Papadakis | 2024/2/24 |
You Can REST Now: Automated Specification Inference and Black-Box Testing of RESTful APIs with Large Language Models | arXiv preprint arXiv:2402.05102 | Alix Decrop Gilles Perrouin Mike Papadakis Xavier Devroey Pierre-Yves Schobbens | 2024/2/7 |
Test input prioritization for Machine Learning Classifiers | IEEE Transactions on Software Engineering | Xueqi Dang Yinghua Li Mike Papadakis Jacques Klein Tegawendé F Bissyandé | 2024/1/5 |
SpecBCFuzz: Fuzzing LTL Solvers with Boundary Conditions | Luiz Carvalho Renzo Degiovanni Maxime Cordy Nazareno Aguirre Yves Le Traon | 2024/4/12 | |
Mutation Testing in Practice: Insights from Open-Source Software Developers | IEEE Transactions on Software Engineering | Ana B Sánchez José A Parejo Sergio Segura Amador Durán Mike Papadakis | 2024/3/18 |
Abstraction-Aware Inference of Metamorphic Relations | AGUSTÍN NOLASCO FACUNDO MOLINA RENZO DEGIOVANNI ALESSANDRA GORLA DIEGO GARBERVETSKY | 2024 | |
Test Optimization in DNN Testing: A Survey | ACM Transactions on Software Engineering and Methodology | Qiang Hu Yuejun Guo Xiaofei Xie Maxime Cordy Lei Ma | 2018 |
Active Code Learning: Benchmarking Sample-Efficient Training of Code Models | IEEE Transactions on Software Engineering | Qiang Hu Yuejun Guo Xiaofei Xie Maxime Cordy Lei Ma | 2024/3/13 |
Towards Understanding Model Quantization for Reliable Deep Neural Network Deployment | Qiang Hu Yuejun Guo Maxime Cordy Xiaofei Xie Wei Ma | 2023/5/15 | |
GAT: guided adversarial training with pareto-optimal auxiliary tasks | Salah Ghamizi Jingfeng Zhang Maxime Cordy Mike Papadakis Masashi Sugiyama | 2023/7/3 | |
Specification Inference for Evolving Systems | arXiv preprint arXiv:2301.12403 | Renzo Degiovanni Facundo Molina Agustin Nolasco Nazareno Aguirre Mike Papadakis | 2023/1/29 |
Smells in system user interactive tests | Empirical Software Engineering | Renaud Rwemalika Sarra Habchi Mike Papadakis Yves Le Traon Marie-Claude Brasseur | 2023/1 |
Boosting source code learning with data augmentation: An empirical study | arXiv preprint arXiv:2303.06808 | Zeming Dong Qiang Hu Yuejun Guo Zhenya Zhang Maxime Cordy | 2023/3/13 |
MUTEN: Mutant-Based Ensembles for Boosting Gradient-Based Adversarial Attack | Qiang Hu Yuejun Guo Maxime Cordy Mike Papadakis Yves Le Traon | 2023/9/11 | |
KAPE: kNN-based Performance Testing for Deep Code Search | ACM Transactions on Software Engineering and Methodology | Yuejun Guo Qiang Hu Xiaofei Xie Maxime Cordy Mike Papadakis | 2023/12/21 |
Aries: Efficient testing of deep neural networks via labeling-free accuracy estimation | Qiang Hu Yuejun Guo Xiaofei Xie Maxime Cordy Mike Papadakis | 2023/5/14 | |
Syntactic vs. semantic similarity of artificial and real faults in mutation testing studies | IEEE Transactions on Software Engineering | Milos Ojdanic Aayush Garg Ahmed Khanfir Renzo Degiovanni Mike Papadakis | 2023/5/26 |
Hazards in Deep Learning Testing: Prevalence, Impact and Recommendations | arXiv preprint arXiv:2309.05381 | Salah Ghamizi Maxime Cordy Yuejun Guo Mike Papadakis | 2023/9/11 |
Assertion Inferring Mutants | arXiv preprint arXiv:2301.12284 | Aayush Garg Renzo Degiovanni Facundo Molina Mike Papadakis Nazareno Aguirre | 2023/1/28 |
Vulnerability mimicking mutants | arXiv preprint arXiv:2303.04247 | Aayush Garg Renzo Degiovanni Mike Papadakis Yves Le Traon | 2023/3/7 |
Co-Authors
