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2020 – today
- 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) - [c104]Salah Ghamizi, Maxime Cordy, Mike Papadakis, Yves Le Traon:
On Evaluating Adversarial Robustness of Chest X-ray Classification. SafeAI@AAAI 2023 - [c103]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 - [c102]Amal Akli, Guillaume Haben, Sarra Habchi, Mike Papadakis, Yves Le Traon:
FlakyCat: Predicting Flaky Tests Categories using Few-Shot Learning. AST 2023: 140-151 - [c101]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 - [c100]Luiz Carvalho, Renzo Degiovanni, Matías Brizzio, Maxime Cordy, Nazareno Aguirre, Yves Le Traon, Mike Papadakis:
ACoRe: Automated Goal-Conflict Resolution. FASE 2023: 3-25 - [c99]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 - [c98]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 - [c97]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 - [c96]Ezekiel O. Soremekun, Lukas Kirschner, Marcel Böhme, Mike Papadakis:
Evaluating the Impact of Experimental Assumptions in Automated Fault Localization. ICSE 2023: 159-171 - [c95]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 - [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, Agustin 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]Wei Ma, Thomas Laurent, Milos Ojdanic, Thierry Titcheu Chekam, Anthony Ventresque, Mike Papadakis:
Commit-Aware Mutation Testing. ICSME 2020: 394-405 - [c68]Salah Ghamizi, Renaud Rwemalika, Maxime Cordy, Lisa Veiber, Tegawendé F. Bissyandé, Mike Papadakis, Jacques Klein, Yves Le Traon:
Data-driven Simulation and Optimization for Covid-19 Exit Strategies. KDD 2020: 3434-3442 - [c67]Salah Ghamizi, Maxime Cordy, Martin Gubri, Mike Papadakis, Andrey Boytsov, Yves Le Traon, Anne Goujon:
Search-based adversarial testing and improvement of constrained credit scoring systems. ESEC/SIGSOFT FSE 2020: 1089-1100 - [i18]Thierry Titcheu Chekam, Mike Papadakis, Maxime Cordy, Yves Le Traon:
Killing Stubborn Mutants with Symbolic Execution. CoRR abs/2001.02941 (2020) - [i17]Salah Ghamizi, Renaud Rwemalika, Lisa Veiber, Maxime Cordy, Tegawendé F. Bissyandé, Mike Papadakis, Jacques Klein, Yves Le Traon:
Data-driven Simulation and Optimization for Covid-19 Exit Strategies. CoRR abs/2006.07087 (2020) - [i16]Martin Gubri, Maxime Cordy, Mike Papadakis, Yves Le Traon:
Efficient and Transferable Adversarial Examples from Bayesian Neural Networks. CoRR abs/2011.05074 (2020) - [i15]Ahmed Khanfir, Anil Koyuncu, Mike Papadakis, Maxime Cordy, Tegawendé F. Bissyandé, Jacques Klein, Yves Le Traon:
IBIR: Bug Report driven Fault Injection. CoRR abs/2012.06506 (2020) - [i14]Adriano Franci, Maxime Cordy, Martin Gubri, Mike Papadakis, Yves Le Traon:
Effective and Efficient Data Poisoning in Semi-Supervised Learning. CoRR abs/2012.07381 (2020) - [i13]Aayush Garg, Renzo Degiovanni, Matthieu Jimenez, Maxime Cordy, Mike Papadakis, Yves Le Traon:
Learning To Predict Vulnerabilities From Vulnerability-Fixes: A Machine Translation Approach. CoRR abs/2012.11701 (2020)
2010 – 2019
- 2019
- [j16]Mike Papadakis, Marinos Kintis, Jie Zhang, Yue Jia, Yves Le Traon, Mark Harman:
Chapter Six - Mutation Testing Advances: An Analysis and Survey. Adv. Comput. 112: 275-378 (2019) - [j15]Mike Papadakis, Shaukat Ali, Gilles Perrouin:
Editorial to the theme section on model-based testing. Softw. Syst. Model. 18(2): 795-796 (2019) - [j14]Donghwan Shin, Shin Yoo, Mike Papadakis, Doo-Hwan Bae:
Empirical evaluation of mutation-based test case prioritization techniques. Softw. Test. Verification Reliab. 29(1-2) (2019) - [c66]Claire Leong, Abhayendra Singh, Mike Papadakis, Yves Le Traon, John Micco:
Assessing transition-based test selection algorithms at Google. ICSE (SEIP) 2019: 101-110 - [c65]Rohan Padhye, Caroline Lemieux, Koushik Sen, Mike Papadakis, Yves Le Traon:
Validity fuzzing and parametric generators for effective random testing. ICSE (Companion Volume) 2019: 266-267 - [c64]Renaud Rwemalika, Marinos Kintis, Mike Papadakis, Yves Le Traon, Pierre Lorrach:
An Industrial Study on the Differences between Pre-Release and Post-Release Bugs. ICSME 2019: 92-102 - [c63]Renaud Rwemalika, Marinos Kintis, Mike Papadakis, Yves Le Traon, Pierre Lorrach:
On the Evolution of Keyword-Driven Test Suites. ICST 2019: 335-345 - [c62]Maxime Cordy, Steve Muller, Mike Papadakis, Yves Le Traon:
Search-based test and improvement of machine-learning-based anomaly detection systems. ISSTA 2019: 158-168 - [c61]Rohan Padhye, Caroline Lemieux, Koushik Sen, Mike Papadakis, Yves Le Traon:
Semantic fuzzing with zest. ISSTA 2019: 329-340 - [c60]Renaud Rwemalika, Marinos Kintis, Mike Papadakis, Yves Le Traon, Pierre Lorrach:
Ukwikora: continuous inspection for keyword-driven testing. ISSTA 2019: 402-405 - [c59]Matthieu Jimenez, Renaud Rwemalika, Mike Papadakis, Federica Sarro, Yves Le Traon, Mark Harman:
The importance of accounting for real-world labelling when predicting software vulnerabilities. ESEC/SIGSOFT FSE 2019: 695-705 - [c58]Thierry Titcheu Chekam, Mike Papadakis, Yves Le Traon:
Mart: a mutant generation tool for LLVM. ESEC/SIGSOFT FSE 2019: 1080-1084 - [c57]Xavier Schmitt, Sylvain Kubler, Jérémy Robert, Mike Papadakis, Yves Le Traon:
A Replicable Comparison Study of NER Software: StanfordNLP, NLTK, OpenNLP, SpaCy, Gate. SNAMS 2019: 338-343 - [c56]Salah Ghamizi, Maxime Cordy, Mike Papadakis, Yves Le Traon:
Automated search for configurations of convolutional neural network architectures. SPLC (A) 2019: 21:1-21:12 - [i12]Salah Ghamizi, Maxime Cordy, Mike Papadakis, Yves Le Traon:
Automated Search for Configurations of Deep Neural Network Architectures. CoRR abs/1904.04612 (2019) - [i11]