Mike Papadakis

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 168

Top Venues

CoRR

ICSE

ACM Trans. Softw. Eng. Methodol.

IEEE Trans. Software Eng.

Publications

Zeming Dong, Qiang Hu, Xiaofei Xie, Maxime Cordy, Mike Papadakis, Jianjun Zhao
Importance Guided Data Augmentation for Neural-Based Code Understanding. CoRR (2024)
Xueqi Dang, Yinghua Li, Wei Ma, Yuejun Guo, Qiang Hu, Mike Papadakis, Maxime Cordy, Yves Le Traon
Towards Exploring the Limitations of Test Selection Techniques on Graph Neural Networks: An Empirical Study. Empir. Softw. Eng. 29 (5) (2024)
Alix Decrop, Gilles Perrouin, Mike Papadakis, Xavier Devroey, Pierre-Yves Schobbens
You Can REST Now: Automated Specification Inference and Black-Box Testing of RESTful APIs with Large Language Models. CoRR (2024)
Ana Belén Sánchez, José Antonio Parejo, Sergio Segura, Amador Durán Toro, Mike Papadakis
Mutation Testing in Practice: Insights From Open-Source Software Developers. IEEE Trans. Software Eng. 50 (5) (2024)
Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Lei Ma, Mike Papadakis, Yves Le Traon
Test Optimization in DNN Testing: A Survey. ACM Trans. Softw. Eng. Methodol. 33 (4) (2024)
Luiz Carvalho, Renzo Degiovanni, Maxime Cordy, Nazareno Aguirre, Yves Le Traon, Mike Papadakis
SpecBCFuzz: Fuzzing LTL Solvers with Boundary Conditions. ICSE (2024)
Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Lei Ma, Mike Papadakis, Yves Le Traon
Active Code Learning: Benchmarking Sample-Efficient Training of Code Models. IEEE Trans. Software Eng. 50 (5) (2024)
Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Mike Papadakis, Yves Le Traon
LaF: Labeling-free Model Selection for Automated Deep Neural Network Reusing. ACM Trans. Softw. Eng. Methodol. 33 (1) (2024)
Yuejun Guo, Qiang Hu, Xiaofei Xie, Maxime Cordy, Mike Papadakis, Yves Le Traon
NN-based Performance Testing for Deep Code Search. ACM Trans. Softw. Eng. Methodol. 33 (2) (2024)
Bo Wang, Mingda Chen, Youfang Lin, Mike Papadakis, Jie M. Zhang
An Exploratory Study on Using Large Language Models for Mutation Testing. CoRR (2024)
Zeming Dong, Qiang Hu, Zhenya Zhang, Yuejun Guo, Maxime Cordy, Mike Papadakis, Yves Le Traon, Jianjun Zhao
On the effectiveness of hybrid pooling in mixup-based graph learning for language processing. J. Syst. Softw. 216 (2024)
Xueqi Dang, Yinghua Li, Mike Papadakis, Jacques Klein, Tegawendé F. Bissyandé, Yves Le Traon
GraphPrior: Mutation-based Test Input Prioritization for Graph Neural Networks. ACM Trans. Softw. Eng. Methodol. 33 (1) (2024)
Xueqi Dang, Yinghua Li, Mike Papadakis, Jacques Klein, Tegawendé F. Bissyandé, Yves Le Traon
Test Input Prioritization for Machine Learning Classifiers. IEEE Trans. Software Eng. 50 (3) (2024)
Agustín Nolasco, Facundo Molina, Renzo Degiovanni, Alessandra Gorla, Diego Garbervetsky, Mike Papadakis, Sebastián Uchitel, Nazareno Aguirre, Marcelo F. Frias
Abstraction-Aware Inference of Metamorphic Relations. Proc. ACM Softw. Eng. 1 (FSE) (2024)
Renaud Rwemalika, Sarra Habchi, Mike Papadakis, Yves Le Traon, Marie-Claude Brasseur
Smells in system user interactive tests. Empir. Softw. Eng. 28 (1) (2023)
Zeming Dong, Qiang Hu, Yuejun Guo, Zhenya Zhang, Maxime Cordy, Mike Papadakis, Yves Le Traon, Jianjun Zhao
Boosting Source Code Learning with Data Augmentation: An Empirical Study. CoRR (2023)
Salah Ghamizi, Jingfeng Zhang, Maxime Cordy, Mike Papadakis, Masashi Sugiyama, Yves Le Traon
GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks. CoRR (2023)
Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Lei Ma, Mike Papadakis, Yves Le Traon
Active Code Learning: Benchmarking Sample-Efficient Training of Code Models. CoRR (2023)
Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Mike Papadakis, Lei Ma, Yves Le Traon
Aries: Efficient Testing of Deep Neural Networks via Labeling-Free Accuracy Estimation. ICSE (2023)
Aayush Garg, Renzo Degiovanni, Mike Papadakis, Yves Le Traon
Vulnerability Mimicking Mutants. CoRR (2023)
Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Wei Ma, Mike Papadakis, Yves Le Traon
Evaluating the Robustness of Test Selection Methods for Deep Neural Networks. CoRR (2023)
Ahmed Khanfir, Renzo Degiovanni, Mike Papadakis, Yves Le Traon
Efficient Mutation Testing via Pre-Trained Language Models. CoRR (2023)
Zeming Dong, Qiang Hu, Yuejun Guo, Maxime Cordy, Mike Papadakis, Zhenya Zhang, Yves Le Traon, Jianjun Zhao
MixCode: Enhancing Code Classification by Mixup-Based Data Augmentation. SANER (2023)
Milos Ojdanic, Mike Papadakis, Mark Harman
Keeping Mutation Test Suites Consistent and Relevant with Long-Standing Mutants. ESEC/SIGSOFT FSE (2023)
Renzo Degiovanni, Facundo Molina, Agustin Nolasco, Nazareno Aguirre, Mike Papadakis
Specification Inference for Evolving Systems. CoRR (2023)
Yu Pei, Jeongju Sohn, Sarra Habchi, Mike Papadakis
TRaf: Time-based Repair for Asynchronous Wait Flaky Tests in Web Testing. CoRR (2023)
Salah Ghamizi, Jingfeng Zhang, Maxime Cordy, Mike Papadakis, Masashi Sugiyama, Yves Le Traon
GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks. ICML (2023)
Milos Ojdanic, Ahmed Khanfir, Aayush Garg, Renzo Degiovanni, Mike Papadakis, Yves Le Traon
On Comparing Mutation Testing Tools through Learning-based Mutant Selection. AST (2023)
Salah Ghamizi, Maxime Cordy, Yuejun Guo, Mike Papadakis, Yves Le Traon
Hazards in Deep Learning Testing: Prevalence, Impact and Recommendations. CoRR (2023)
Yonghao Wu, Zheng Li, Jie M. Zhang, Mike Papadakis, Mark Harman, Yong Liu
Large Language Models in Fault Localisation. CoRR (2023)
Aayush Garg, Renzo Degiovanni, Facundo Molina, Maxime Cordy, Nazareno Aguirre, Mike Papadakis, Yves Le Traon
Enabling Efficient Assertion Inference. ISSRE (2023)
Aayush Garg, Renzo Degiovanni, Facundo Molina, Mike Papadakis, Nazareno Aguirre, Maxime Cordy, Yves Le Traon
Assertion Inferring Mutants. CoRR (2023)
Aayush Garg, Milos Ojdanic, Renzo Degiovanni, Thierry Titcheu Chekam, Mike Papadakis, Yves Le Traon
Cerebro: Static Subsuming Mutant Selection. IEEE Trans. Software Eng. 49 (1) (2023)
Luiz Carvalho, Renzo Degiovanni, Matías Brizzio, Maxime Cordy, Nazareno Aguirre, Yves Le Traon, Mike Papadakis
ACoRe: Automated Goal-Conflict Resolution. FASE (2023)
Guillaume Haben, Sarra Habchi, Mike Papadakis, Maxime Cordy, Yves Le Traon
The Importance of Discerning Flaky from Fault-triggering Test Failures: A Case Study on the Chromium CI. CoRR (2023)
Milos Ojdanic, Aayush Garg, Ahmed Khanfir, Renzo Degiovanni, Mike Papadakis, Yves Le Traon
Syntactic Versus Semantic Similarity of Artificial and Real Faults in Mutation Testing Studies. IEEE Trans. Software Eng. 49 (7) (2023)
Ezekiel O. Soremekun, Lukas Kirschner, Marcel Böhme, Mike Papadakis
Evaluating the Impact of Experimental Assumptions in Automated Fault Localization. ICSE (2023)
Qiang Hu, Yuejun Guo, Maxime Cordy, Mike Papadakis, Yves Le Traon
MUTEN: Mutant-Based Ensembles for Boosting Gradient-Based Adversarial Attack. ASE (2023)
Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Mike Papadakis, Lei Ma, Yves Le Traon
CodeS: Towards Code Model Generalization Under Distribution Shift. ICSE (NIER) (2023)
Ahmed Khanfir, Anil Koyuncu, Mike Papadakis, Maxime Cordy, Tegawendé F. Bissyandé, Jacques Klein, Yves Le Traon
iBiR: Bug-report-driven Fault Injection. ACM Trans. Softw. Eng. Methodol. 32 (2) (2023)
Amal Akli, Guillaume Haben, Sarra Habchi, Mike Papadakis, Yves Le Traon
FlakyCat: Predicting Flaky Tests Categories using Few-Shot Learning. AST (2023)
Qiang Hu, Yuejun Guo, Maxime Cordy, Xiaofei Xie, Wei Ma, Mike Papadakis, Yves Le Traon
Towards Understanding Model Quantization for Reliable Deep Neural Network Deployment. CAIN (2023)
Salah Ghamizi, Maxime Cordy, Mike Papadakis, Yves Le Traon
On Evaluating Adversarial Robustness of Chest X-ray Classification. SafeAI@AAAI (2023)
Luiz Carvalho, Renzo Degiovanni, Matías Brizzio, Maxime Cordy, Nazareno Aguirre, Yves Le Traon, Mike Papadakis
ACoRe: Automated Goal-Conflict Resolution. CoRR (2023)
Milos Ojdanic, Ezekiel O. Soremekun, Renzo Degiovanni, Mike Papadakis, Yves Le Traon
Mutation Testing in Evolving Systems: Studying the Relevance of Mutants to Code Evolution. ACM Trans. Softw. Eng. Methodol. 32 (1) (2023)
Matías Brizzio, Maxime Cordy, Mike Papadakis, César Sánchez, Nazareno Aguirre, Renzo Degiovanni
Automated Repair of Unrealisable LTL Specifications Guided by Model Counting. GECCO (2023)
Yuejun Guo, Qiang Hu, Maxime Cordy, Mike Papadakis, Yves Le Traon
Robust active learning: sample-efficient training of robust deep learning models. CAIN (2022)
Adriano Franci, Maxime Cordy, Martin Gubri, Mike Papadakis, Yves Le Traon
Influence-driven data poisoning in graph-based semi-supervised classifiers. CAIN (2022)
Sarra Habchi, Guillaume Haben, Jeongju Sohn, Adriano Franci, Mike Papadakis, Maxime Cordy, Yves Le Traon
What Made This Test Flake? Pinpointing Classes Responsible for Test Flakiness. CoRR (2022)
Zeyu Sun, Jie M. Zhang, Yingfei Xiong, Mark Harman, Mike Papadakis, Lu Zhang
Improving Machine Translation Systems via Isotopic Replacement. ICSE (2022)
Qiang Hu, Yuejun Guo, Maxime Cordy, Xiaofei Xie, Wei Ma, Mike Papadakis, Yves Le Traon
Characterizing and Understanding the Behavior of Quantized Models for Reliable Deployment. CoRR (2022)
Rahul Gopinath, Jie M. Zhang, Marinos Kintis, Mike Papadakis
Mutation analysis and its industrial applications. Softw. Test. Verification Reliab. 32 (8) (2022)
Martin Gubri, Maxime Cordy, Mike Papadakis, Yves Le Traon, Koushik Sen
LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity. CoRR (2022)
Ahmed Khanfir, Matthieu Jimenez, Mike Papadakis, Yves Le Traon
CodeBERT-nt: code naturalness via CodeBERT. CoRR (2022)
Milos Ojdanic, Wei Ma, Thomas Laurent, Thierry Titcheu Chekam, Anthony Ventresque, Mike Papadakis
On the use of commit-relevant mutants. Empir. Softw. Eng. 27 (5) (2022)
Ahmed Khanfir, Matthieu Jimenez, Mike Papadakis, Yves Le Traon
CodeBERT-nt: Code Naturalness via CodeBERT. QRS (2022)
Zeming Dong, Qiang Hu, Yuejun Guo, Maxime Cordy, Mike Papadakis, Yves Le Traon, Jianjun Zhao
Enhancing Mixup-Based Graph Learning for Language Processing via Hybrid Pooling. CoRR (2022)
Qiang Hu, Yuejun Guo, Maxime Cordy, Xiaofei Xie, Lei Ma, Mike Papadakis, Yves Le Traon
An Empirical Study on Data Distribution-Aware Test Selection for Deep Learning Enhancement. ACM Trans. Softw. Eng. Methodol. 31 (4) (2022)
Benjamin Petit, Ahmed Khanfir, Ezekiel O. Soremekun, Gilles Perrouin, Mike Papadakis
IntJect: Vulnerability Intent Bug Seeding. QRS (2022)
Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Lei Ma, Mike Papadakis, Yves Le Traon
Efficient Testing of Deep Neural Networks via Decision Boundary Analysis. CoRR (2022)
Jeongju Sohn, Mike Papadakis
Using Evolutionary Coupling to Establish Relevance Links Between Tests and Code Units. A case study on fault localization. CoRR (2022)
Ezekiel O. Soremekun, Mike Papadakis, Maxime Cordy, Yves Le Traon
Software Fairness: An Analysis and Survey. CoRR (2022)
Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Lei Ma, Mike Papadakis, Yves Le Traon
CodeS: A Distribution Shift Benchmark Dataset for Source Code Learning. CoRR (2022)
Martin Gubri, Maxime Cordy, Mike Papadakis, Yves Le Traon, Koushik Sen
Efficient and transferable adversarial examples from bayesian neural networks. UAI (2022)
Yuejun Guo, Qiang Hu, Maxime Cordy, Xiaofei Xie, Mike Papadakis, Yves Le Traon
Labeling-Free Comparison Testing of Deep Learning Models. CoRR (2022)
Maxime Cordy, Renaud Rwemalika, Adriano Franci, Mike Papadakis, Mark Harman
FlakiMe: Laboratory-Controlled Test Flakiness Impact Assessment. ICSE (2022)
Renzo Degiovanni, Mike Papadakis
µBert: Mutation Testing using Pre-Trained Language Models. ICST Workshops (2022)
Renzo Degiovanni, Mike Papadakis
μBERT: Mutation Testing using Pre-Trained Language Models. CoRR (2022)
Jeongju Sohn, Mike Papadakis
CEMENT: On the Use of Evolutionary Coupling Between Tests and Code Units. A Case Study on Fault Localization. ISSRE (2022)
Rahul Gopinath, Jie M. Zhang, Marinos Kintis, Mike Papadakis
Mutation analysis and its industrial applications. Softw. Test. Verification Reliab. 32 (7) (2022)
Milos Ojdanic, Mike Papadakis, Mark Harman
Keeping Mutation Test Suites Consistent and Relevant with Long-Standing Mutants. CoRR (2022)
Zeming Dong, Qiang Hu, Yuejun Guo, Maxime Cordy, Mike Papadakis, Yves Le Traon, Jianjun Zhao
Enhancing Code Classification by Mixup-Based Data Augmentation. CoRR (2022)
Yu Pei, Sarra Habchi, Renaud Rwemalika, Jeongju Sohn, Mike Papadakis
An empirical study of async wait flakiness in front-end testing. BENEVOL (2022)
Aayush Garg, Renzo Degiovanni, Matthieu Jimenez, Maxime Cordy, Mike Papadakis, Yves Le Traon
Learning from what we know: How to perform vulnerability prediction using noisy historical data. Empir. Softw. Eng. 27 (7) (2022)
Martin Gubri, Maxime Cordy, Mike Papadakis, Yves Le Traon, Koushik Sen
LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity. ECCV (4) (2022)
Sarra Habchi, Guillaume Haben, Jeongju Sohn, Adriano Franci, Mike Papadakis, Maxime Cordy, Yves Le Traon
What Made This Test Flake? Pinpointing Classes Responsible for Test Flakiness. ICSME (2022)
Salah Ghamizi, Maxime Cordy, Mike Papadakis, Yves Le Traon
Adversarial Robustness in Multi-Task Learning: Promises and Illusions. AAAI (2022)
Amal Akli, Guillaume Haben, Sarra Habchi, Mike Papadakis, Yves Le Traon
Predicting Flaky Tests Categories using Few-Shot Learning. CoRR (2022)
Wei Ma, Mengjie Zhao, Ezekiel O. Soremekun, Qiang Hu, Jie M. Zhang, Mike Papadakis, Maxime Cordy, Xiaofei Xie, Yves Le Traon
GraphCode2Vec: Generic Code Embedding via Lexical and Program Dependence Analyses. MSR (2022)
Sarra Habchi, Guillaume Haben, Mike Papadakis, Maxime Cordy, Yves Le Traon
A Qualitative Study on the Sources, Impacts, and Mitigation Strategies of Flaky Tests. ICST (2022)
Sarra Habchi, Maxime Cordy, Mike Papadakis, Yves Le Traon
On the Use of Mutation in Injecting Test Order-Dependency. CoRR (2021)
Maxime Cordy, Sami Lazreg, Mike Papadakis, Axel Legay
Statistical model checking for variability-intensive systems: applications to bug detection and minimization. Formal Aspects Comput. 33 (6) (2021)
Milos Ojdanic, Aayush Garg, Ahmed Khanfir, Renzo Degiovanni, Mike Papadakis, Yves Le Traon
Syntactic Vs. Semantic similarity of Artificial and Real Faults in Mutation Testing Studies. CoRR (2021)
Yuejun Guo, Qiang Hu, Maxime Cordy, Mike Papadakis, Yves Le Traon
Robust Active Learning: Sample-Efficient Training of Robust Deep Learning Models. CoRR (2021)
Aayush Garg, Milos Ojdanic, Renzo Degiovanni, Thierry Titcheu Chekam, Mike Papadakis, Yves Le Traon
Cerebro: Static Subsuming Mutant Selection. CoRR (2021)
Salah Ghamizi, Maxime Cordy, Mike Papadakis, Yves Le Traon
Evasion Attack STeganography: Turning Vulnerability Of Machine Learning To Adversarial Attacks Into A Real-world Application. ICCVW (2021)
Milos Ojdanic, Ezekiel Soremekun, Renzo Degiovanni, Mike Papadakis, Yves Le Traon
Mutation Testing in Evolving Systems: Studying the relevance of mutants to code evolution. CoRR (2021)
William Bonnaventure, Ahmed Khanfir, Alexandre Bartel, Mike Papadakis, Yves Le Traon
Confuzzion: A Java Virtual Machine Fuzzer for Type Confusion Vulnerabilities. QRS (2021)
Thierry Titcheu Chekam, Mike Papadakis, Maxime Cordy, Yves Le Traon
Killing Stubborn Mutants with Symbolic Execution. ACM Trans. Softw. Eng. Methodol. 30 (2) (2021)
Wei Ma, Mike Papadakis, Anestis Tsakmalis, Maxime Cordy, Yves Le Traon
Test Selection for Deep Learning Systems. ACM Trans. Softw. Eng. Methodol. 30 (2) (2021)
Wei Ma, Thierry Titcheu Chekam, Mike Papadakis, Mark Harman
MuDelta: Delta-Oriented Mutation Testing at Commit Time. ICSE (2021)
Guillaume Haben, Sarra Habchi, Mike Papadakis, Maxime Cordy, Yves Le Traon
Discerning Legitimate Failures From False Alerts: A Study of Chromium's Continuous Integration. CoRR (2021)
Qiang Hu, Yuejun Guo, Maxime Cordy, Xiaofei Xie, Wei Ma, Mike Papadakis, Yves Le Traon
Towards Exploring the Limitations of Active Learning: An Empirical Study. ASE (2021)
Wei Ma, Mengjie Zhao, Ezekiel Soremekun, Qiang Hu, Jie Zhang, Mike Papadakis, Maxime Cordy, Xiaofei Xie, Yves Le Traon
GraphCode2Vec: Generic Code Embedding via Lexical and Program Dependence Analyses. CoRR (2021)
Guillaume Haben, Sarra Habchi, Mike Papadakis, Maxime Cordy, Yves Le Traon
A Replication Study on the Usability of Code Vocabulary in Predicting Flaky Tests. MSR (2021)
Renaud Rwemalika, Sarra Habchi, Mike Papadakis, Yves Le Traon, Marie-Claude Brasseur
Smells in System User Interactive Tests. CoRR (2021)
Matías Brizzio, Renzo Degiovanni, Maxime Cordy, Mike Papadakis, Nazareno Aguirre
Automated Repair of Unrealisable LTL Specifications Guided by Model Counting. CoRR (2021)
Sarra Habchi, Guillaume Haben, Mike Papadakis, Maxime Cordy, Yves Le Traon
A Qualitative Study on the Sources, Impacts, and Mitigation Strategies of Flaky Tests. CoRR (2021)
Salah Ghamizi, Maxime Cordy, Mike Papadakis, Yves Le Traon
Adversarial Robustness in Multi-Task Learning: Promises and Illusions. CoRR (2021)
Thierry Titcheu Chekam, Mike Papadakis, Tegawendé F. Bissyandé, Yves Le Traon, Koushik Sen
Selecting fault revealing mutants. Empir. Softw. Eng. 25 (1) (2020)

Mike Papadakis.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Mike Papadakis