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2020 – today
- 2024
[j40]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): 112 (2024)- [j39]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: 112139 (2024) - [j38]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): 450-472 (2024) - [j37]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): 22:1-22:40 (2024) - [j36]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): 25:1-25:28 (2024) - [j35]Yuejun Guo, Qiang Hu, Xiaofei Xie, Maxime Cordy, Mike Papadakis, Yves Le Traon:
KAPE: kNN-based Performance Testing for Deep Code Search. ACM Trans. Softw. Eng. Methodol. 33(2): 48:1-48:24 (2024) - [j34]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): 111:1-111:42 (2024) - [j33]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): 413-442 (2024) - [j32]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): 1080-1095 (2024) - [j31]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): 1130-1143 (2024) - [c110]Luiz Carvalho, Renzo Degiovanni, Maxime Cordy, Nazareno Aguirre, Yves Le Traon, Mike Papadakis:
SpecBCFuzz: Fuzzing LTL Solvers with Boundary Conditions. ICSE 2024: 123:1-123:13 - [c109]Aayush Garg, Renzo Degiovanni, Mike Papadakis, Yves Le Traon:
On the Coupling between Vulnerabilities and LLM-Generated Mutants: A Study on Vul4J Dataset. ICST 2024: 305-316 - [c108]Guillaume Haben, Sarra Habchi, John Micco, Mark Harman, Mike Papadakis, Maxime Cordy, Yves Le Traon:
The Importance of Accounting for Execution Failures when Predicting Test Flakiness. ASE 2024: 1979-1989 - [d1]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 (Replication Package). Zenodo, 2024
- [i60]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 abs/2402.05102 (2024) - [i59]Zeming Dong, Qiang Hu, Xiaofei Xie, Maxime Cordy, Mike Papadakis, Jianjun Zhao:
Importance Guided Data Augmentation for Neural-Based Code Understanding. CoRR abs/2402.15769 (2024) - [i58]Bo Wang, Mingda Chen, Youfang Lin, Mike Papadakis, Jie M. Zhang:
An Exploratory Study on Using Large Language Models for Mutation Testing. CoRR abs/2406.09843 (2024) - [i57]Michael Konstantinou, Renzo Degiovanni, Mike Papadakis:
Do LLMs generate test oracles that capture the actual or the expected program behaviour? CoRR abs/2410.21136 (2024) - 2023
- [j30]Renaud Rwemalika, Sarra Habchi, Mike Papadakis, Yves Le Traon, Marie-Claude Brasseur:
Smells in system user interactive tests. Empir. Softw. Eng. 28(1): 20 (2023) - [j29]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): 14:1-14:39 (2023) - [j28]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): 33:1-33:31 (2023) - [j27]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): 24-43 (2023) - [j26]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): 3922-3938 (2023) - [c107]Salah Ghamizi, Maxime Cordy, Mike Papadakis, Yves Le Traon:
On Evaluating Adversarial Robustness of Chest X-ray Classification. SafeAI@AAAI 2023 - [c106]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: 35-46 - [c105]Amal Akli, Guillaume Haben, Sarra Habchi, Mike Papadakis, Yves Le Traon:
FlakyCat: Predicting Flaky Tests Categories using Few-Shot Learning. AST 2023: 140-151 - [c104]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: 56-67 - [c103]Luiz Carvalho, Renzo Degiovanni, Matías Brizzio, Maxime Cordy, Nazareno Aguirre, Yves Le Traon, Mike Papadakis:
ACoRe: Automated Goal-Conflict Resolution. FASE 2023: 3-25 - [c102]Matías Brizzio, Maxime Cordy, Mike Papadakis, César Sánchez, Nazareno Aguirre, Renzo Degiovanni:
Automated Repair of Unrealisable LTL Specifications Guided by Model Counting. GECCO 2023: 1499-1507 - [c101]Salah Ghamizi, Jingfeng Zhang, Maxime Cordy, Mike Papadakis, Masashi Sugiyama, Yves Le Traon:
GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks. ICML 2023: 11255-11282 - [c100]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: 1-6 - [c99]Ezekiel O. Soremekun, Lukas Kirschner, Marcel Böhme, Mike Papadakis:
Evaluating the Impact of Experimental Assumptions in Automated Fault Localization. ICSE 2023: 159-171 - [c98]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: 1776-1787 - [c97]Aayush Garg, Renzo Degiovanni, Facundo Molina, Maxime Cordy, Nazareno Aguirre, Mike Papadakis, Yves Le Traon:
Enabling Efficient Assertion Inference. ISSRE 2023: 623-634 - [c96]Qiang Hu, Yuejun Guo, Maxime Cordy, Mike Papadakis, Yves Le Traon:
MUTEN: Mutant-Based Ensembles for Boosting Gradient-Based Adversarial Attack. ASE 2023: 1708-1712 - [c95]Milos Ojdanic, Mike Papadakis, Mark Harman:
Keeping Mutation Test Suites Consistent and Relevant with Long-Standing Mutants. ESEC/SIGSOFT FSE 2023: 2067-2071 - [c94]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: 379-390 - [i56]Ahmed Khanfir, Renzo Degiovanni, Mike Papadakis, Yves Le Traon:
Efficient Mutation Testing via Pre-Trained Language Models. CoRR abs/2301.03543 (2023) - [i55]Aayush Garg, Renzo Degiovanni, Facundo Molina, Mike Papadakis, Nazareno Aguirre, Maxime Cordy, Yves Le Traon:
Assertion Inferring Mutants. CoRR abs/2301.12284 (2023) - [i54]Renzo Degiovanni, Facundo Molina, Agustín Nolasco, Nazareno Aguirre, Mike Papadakis:
Specification Inference for Evolving Systems. CoRR abs/2301.12403 (2023) - [i53]Salah Ghamizi, Jingfeng Zhang, Maxime Cordy, Mike Papadakis, Masashi Sugiyama, Yves Le Traon:
GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks. CoRR abs/2302.02907 (2023) - [i52]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 abs/2302.10594 (2023) - [i51]Aayush Garg, Renzo Degiovanni, Mike Papadakis, Yves Le Traon:
Vulnerability Mimicking Mutants. CoRR abs/2303.04247 (2023) - [i50]Luiz Carvalho, Renzo Degiovanni, Matías Brizzio, Maxime Cordy, Nazareno Aguirre, Yves Le Traon, Mike Papadakis:
ACoRe: Automated Goal-Conflict Resolution. CoRR abs/2303.05213 (2023) - [i49]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 abs/2303.06808 (2023) - [i48]Yu Pei, Jeongju Sohn, Sarra Habchi, Mike Papadakis:
Time-based Repair for Asynchronous Wait Flaky Tests in Web Testing. CoRR abs/2305.08592 (2023) - [i47]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 abs/2306.01250 (2023) - [i46]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 abs/2308.01314 (2023) - [i45]Yonghao Wu, Zheng Li, Jie M. Zhang, Mike Papadakis, Mark Harman, Yong Liu:
Large Language Models in Fault Localisation. CoRR abs/2308.15276 (2023) - [i44]Salah Ghamizi, Maxime Cordy, Yuejun Guo, Mike Papadakis, Yves Le Traon:
Hazards in Deep Learning Testing: Prevalence, Impact and Recommendations. CoRR abs/2309.05381 (2023) - 2022
- [j25]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): 114 (2022) - [j24]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): 169 (2022) - [j23]Rahul Gopinath, Jie M. Zhang, Marinos Kintis, Mike Papadakis:
Mutation analysis and its industrial applications. Softw. Test. Verification Reliab. 32(7) (2022) - [j22]Rahul Gopinath, Jie M. Zhang, Marinos Kintis, Mike Papadakis:
Mutation analysis and its industrial applications. Softw. Test. Verification Reliab. 32(8) (2022) - [j21]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): 78:1-78:30 (2022) - [c93]Salah Ghamizi, Maxime Cordy, Mike Papadakis, Yves Le Traon:
Adversarial Robustness in Multi-Task Learning: Promises and Illusions. AAAI 2022: 697-705 - [c92]Yu Pei, Sarra Habchi, Renaud Rwemalika, Jeongju Sohn, Mike Papadakis:
An empirical study of async wait flakiness in front-end testing. BENEVOL 2022 - [c91]Yuejun Guo, Qiang Hu, Maxime Cordy, Mike Papadakis, Yves Le Traon:
Robust active learning: sample-efficient training of robust deep learning models. CAIN 2022: 41-42 - [c90]Adriano Franci, Maxime Cordy, Martin Gubri, Mike Papadakis, Yves Le Traon:
Influence-driven data poisoning in graph-based semi-supervised classifiers. CAIN 2022: 77-87 - [c89]Martin Gubri, Maxime Cordy, Mike Papadakis, Yves Le Traon, Koushik Sen:
LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity. ECCV (4) 2022: 603-618 - [c88]Maxime Cordy, Renaud Rwemalika, Adriano Franci, Mike Papadakis, Mark Harman:
FlakiMe: Laboratory-Controlled Test Flakiness Impact Assessment. ICSE 2022: 982-994 - [c87]Zeyu Sun, Jie M. Zhang, Yingfei Xiong, Mark Harman, Mike Papadakis, Lu Zhang:
Improving Machine Translation Systems via Isotopic Replacement. ICSE 2022: 1181-1192 - [c86]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: 352-363 - [c85]Renzo Degiovanni, Mike Papadakis:
µBert: Mutation Testing using Pre-Trained Language Models. ICST Workshops 2022: 160-169 - [c84]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: 244-255 - [c83]Jeongju Sohn, Mike Papadakis:
CEMENT: On the Use of Evolutionary Coupling Between Tests and Code Units. A Case Study on Fault Localization. ISSRE 2022: 133-144 - [c82]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: 524-536 - [c81]Benjamin Petit, Ahmed Khanfir, Ezekiel O. Soremekun, Gilles Perrouin, Mike Papadakis:
IntJect: Vulnerability Intent Bug Seeding. QRS 2022: 19-30 - [c80]Ahmed Khanfir, Matthieu Jimenez, Mike Papadakis, Yves Le Traon:
CodeBERT-nt: Code Naturalness via CodeBERT. QRS 2022: 936-947 - [c79]Martin Gubri, Maxime Cordy, Mike Papadakis, Yves Le Traon, Koushik Sen:
Efficient and transferable adversarial examples from bayesian neural networks. UAI 2022: 738-748 - [e2]Mike Papadakis, Silvia Regina Vergilio:
Search-Based Software Engineering - 14th International Symposium, SSBSE 2022, Singapore, November 17-18, 2022, Proceedings. Lecture Notes in Computer Science 13711, Springer 2022, ISBN 978-3-031-21250-5 [contents] - [i43]Renzo Degiovanni, Mike Papadakis:
μBERT: Mutation Testing using Pre-Trained Language Models. CoRR abs/2203.03289 (2022) - [i42]Jeongju Sohn, Mike Papadakis:
Using Evolutionary Coupling to Establish Relevance Links Between Tests and Code Units. A case study on fault localization. CoRR abs/2203.11343 (2022) - [i41]Yuejun Guo, Qiang Hu, Maxime Cordy, Xiaofei Xie, Mike Papadakis, Yves Le Traon:
Labeling-Free Comparison Testing of Deep Learning Models. CoRR abs/2204.03994 (2022) - [i40]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 abs/2204.04220 (2022) - [i39]Ezekiel O. Soremekun, Mike Papadakis, Maxime Cordy, Yves Le Traon:
Software Fairness: An Analysis and Survey. CoRR abs/2205.08809 (2022) - [i38]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 abs/2206.05480 (2022) - [i37]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 abs/2207.10143 (2022) - [i36]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 abs/2207.10942 (2022) - [i35]Martin Gubri, Maxime Cordy, Mike Papadakis, Yves Le Traon, Koushik Sen:
LGV: Boosting Adversarial Example Transferability from Large Geometric Vicinity. CoRR abs/2207.13129 (2022) - [i34]Ahmed Khanfir, Matthieu Jimenez, Mike Papadakis, Yves Le Traon:
CodeBERT-nt: code naturalness via CodeBERT. CoRR abs/2208.06042 (2022) - [i33]Amal Akli, Guillaume Haben, Sarra Habchi, Mike Papadakis, Yves Le Traon:
Predicting Flaky Tests Categories using Few-Shot Learning. CoRR abs/2208.14799 (2022) - [i32]Zeming Dong, Qiang Hu, Yuejun Guo, Maxime Cordy, Mike Papadakis, Yves Le Traon, Jianjun Zhao:
Enhancing Code Classification by Mixup-Based Data Augmentation. CoRR abs/2210.03003 (2022) - [i31]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 abs/2210.03123 (2022) - [i30]Milos Ojdanic, Mike Papadakis, Mark Harman:
Keeping Mutation Test Suites Consistent and Relevant with Long-Standing Mutants. CoRR abs/2212.11762 (2022) - 2021
- [j20]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): 1147-1172 (2021) - [j19]Wei Ma, Mike Papadakis, Anestis Tsakmalis, Maxime Cordy, Yves Le Traon:
Test Selection for Deep Learning Systems. ACM Trans. Softw. Eng. Methodol. 30(2): 13:1-13:22 (2021) - [j18]Thierry Titcheu Chekam, Mike Papadakis, Maxime Cordy, Yves Le Traon:
Killing Stubborn Mutants with Symbolic Execution. ACM Trans. Softw. Eng. Methodol. 30(2): 19:1-19:23 (2021) - [c78]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: 31-40 - [c77]Wei Ma, Thierry Titcheu Chekam, Mike Papadakis, Mark Harman:
MuDelta: Delta-Oriented Mutation Testing at Commit Time. ICSE 2021: 897-909 - [c76]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: 917-929 - [c75]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: 219-229 - [c74]William Bonnaventure, Ahmed Khanfir, Alexandre Bartel, Mike Papadakis, Yves Le Traon:
Confuzzion: A Java Virtual Machine Fuzzer for Type Confusion Vulnerabilities. QRS 2021: 586-597 - [e1]Mike Papadakis, Maxime Cordy:
Proceedings of the 19th Belgium-Netherlands Software Evolution Workshop, BENEVOL 2020, Luxembourg, December 3-4, 2020. CEUR Workshop Proceedings 2912, CEUR-WS.org 2021 [contents] - [i29]Sarra Habchi, Maxime Cordy, Mike Papadakis, Yves Le Traon:
On the Use of Mutation in Injecting Test Order-Dependency. CoRR abs/2104.07441 (2021) - [i28]Matías Brizzio, Renzo Degiovanni, Maxime Cordy, Mike Papadakis, Nazareno Aguirre:
Automated Repair of Unrealisable LTL Specifications Guided by Model Counting. CoRR abs/2105.12595 (2021) - [i27]Salah Ghamizi, Maxime Cordy, Mike Papadakis, Yves Le Traon:
Adversarial Robustness in Multi-Task Learning: Promises and Illusions. CoRR abs/2110.15053 (2021) - [i26]Renaud Rwemalika, Sarra Habchi, Mike Papadakis, Yves Le Traon, Marie-Claude Brasseur:
Smells in System User Interactive Tests. CoRR abs/2111.02317 (2021) - [i25]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 abs/2111.03382 (2021) - [i24]Wei Ma, Mengjie Zhao, Ezekiel O. 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 abs/2112.01218 (2021) - [i23]Yuejun Guo, Qiang Hu, Maxime Cordy, Mike Papadakis, Yves Le Traon:
Robust Active Learning: Sample-Efficient Training of Robust Deep Learning Models. CoRR abs/2112.02542 (2021) - [i22]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 abs/2112.04919 (2021) - [i21]Aayush Garg, Milos Ojdanic, Renzo Degiovanni, Thierry Titcheu Chekam, Mike Papadakis, Yves Le Traon:
Cerebro: Static Subsuming Mutant Selection. CoRR abs/2112.14151 (2021) - [i20]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 abs/2112.14508 (2021) - [i19]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. CoRR abs/2112.14566 (2021) - 2020
- [j17]Thierry Titcheu Chekam, Mike Papadakis, Tegawendé F. Bissyandé, Yves Le Traon, Koushik Sen:
Selecting fault revealing mutants. Empir. Softw. Eng. 25(1): 434-487 (2020) - [c73]Maxime Cordy, Mike Papadakis, Axel Legay:
Statistical Model Checking for Variability-Intensive Systems. FASE 2020: 294-314 - [c72]Salah Ghamizi, Maxime Cordy, Mike Papadakis, Yves Le Traon:
FeatureNET: diversity-driven generation of deep learning models. ICSE (Companion Volume) 2020: 41-44 - [c71]Thierry Titcheu Chekam, Mike Papadakis, Yves Le Traon:
Muteria: An Extensible and Flexible Multi-Criteria Software Testing Framework. AST@ICSE 2020: 97-100 - [c70]Zeyu Sun, Jie M. Zhang, Mark Harman, Mike Papadakis, Lu Zhang:
Automatic testing and improvement of machine translation. ICSE 2020: 974-985 - [c69]