| Code smells in ios apps: How do they compare to android? S Habchi, G Hecht, R Rouvoy, N Moha 2017 IEEE/ACM 4th International Conference on Mobile Software Engineering …, 2017 | 51 | 2017 |
| On adopting linters to deal with performance concerns in android apps S Habchi, X Blanc, R Rouvoy Proceedings of the 33rd ACM/IEEE International Conference on Automated …, 2018 | 35 | 2018 |
| On the survival of android code smells in the wild S Habchi, R Rouvoy, N Moha 2019 IEEE/ACM 6th International Conference on Mobile Software Engineering …, 2019 | 30 | 2019 |
| The rise of android code smells: Who is to blame? S Habchi, N Moha, R Rouvoy 2019 IEEE/ACM 16th International Conference on Mining Software Repositories …, 2019 | 29 | 2019 |
| A replication study on the usability of code vocabulary in predicting flaky tests G Haben, S Habchi, M Papadakis, M Cordy, Y Le Traon 2021 IEEE/ACM 18th International Conference on Mining Software Repositories …, 2021 | 24 | 2021 |
| A qualitative study on the sources, impacts, and mitigation strategies of flaky tests S Habchi, G Haben, M Papadakis, M Cordy, Y Le Traon 2022 IEEE Conference on Software Testing, Verification and Validation (ICST …, 2022 | 16 | 2022 |
| Android Code Smells: From Introduction to Refactoring S Habchi, N Moha, R Rouvoy Journal of Systems and Software, 2020 | 16 | 2020 |
| Predicting flaky tests categories using few-shot learning A Akli, G Haben, S Habchi, M Papadakis, YL Traon arXiv preprint arXiv:2208.14799, 2022 | 7 | 2022 |
| On the use of mutation in injecting test order-dependency S Habchi, M Cordy, M Papadakis, YL Traon arXiv preprint arXiv:2104.07441, 2021 | 6 | 2021 |
| What made this test flake? pinpointing classes responsible for test flakiness S Habchi, G Haben, J Sohn, A Franci, M Papadakis, M Cordy, Y Le Traon 2022 IEEE International Conference on Software Maintenance and Evolution …, 2022 | 5 | 2022 |
| Sniffer source code S Habchi, A Veuiller Sniffer, 2019 | 5 | 2019 |
| Understanding mobile-specific code smells S Habchi Université de Lille, 2019 | 3 | 2019 |
| The Importance of Discerning Flaky from Fault-triggering Test Failures: A Case Study on the Chromium CI G Haben, S Habchi, M Papadakis, M Cordy, YL Traon arXiv preprint arXiv:2302.10594, 2023 | 2 | 2023 |
| Smells in system user interactive tests R Rwemalika, S Habchi, M Papadakis, Y Le Traon, MC Brasseur Empirical Software Engineering 28 (1), 20, 2023 | 2 | 2023 |
| Discerning Legitimate Failures From False Alerts: A Study of Chromium's Continuous Integration G Haben, S Habchi, M Papadakis, M Cordy, YL Traon arXiv preprint arXiv:2111.03382, 2021 | 1 | 2021 |
| Towards Lifelong Learning for Software Analytics Models: Empirical Study on Brown Build and Risk Prediction D Olewicki, S Habchi, M Nayrolles, M Faramarzi, S Chandar, B Adams arXiv preprint arXiv:2305.09824, 2023 | | 2023 |
| Performance Prediction From Source Code Is Task and Domain Specific M Böck, S Habchi, M Nayrolles, J Cito 2023 IEEE/ACM 31st International Conference on Program Comprehension (ICPC …, 2023 | | 2023 |
| FlakyCat: Predicting Flaky Tests Categories using Few-Shot Learning A Akli, G Haben, S Habchi, M Papadakis, Y Le Traon 2023 IEEE/ACM International Conference on Automation of Software Test (AST …, 2023 | | 2023 |
| TRaf: Time-based Repair for Asynchronous Wait Flaky Tests in Web Testing Y Pei, J Sohn, S Habchi, M Papadakis arXiv preprint arXiv:2305.08592, 2023 | | 2023 |
| Zoom is what you need: An empirical study of the power of zoom and spatial biases in image classification MR Taesiri, G Nguyen, S Habchi, CP Bezemer, A Nguyen arXiv preprint arXiv:2304.05538, 2023 | | 2023 |
Mike PapadakisAssociate professor, University of LuxembourgVerified email at uni.lu
