Code Smells in iOS Apps: How Do They Compare to Android? - Sarra Habchi; Geoffrey Hecht; Romain Rouvoy; Naouel Moha (MOBILESoft@ICSE, 2017)

On adopting linters to deal with performance concerns in Android apps. - Sarra Habchi; Xavier Blanc 001; Romain Rouvoy (ASE, 2018)

On the survival of Android code smells in the wild. - Sarra Habchi; Romain Rouvoy; Naouel Moha (MOBILESoft@ICSE, 2019)

The rise of Android code smells: who is to blame? - Sarra Habchi; Naouel Moha; Romain Rouvoy (MSR, 2019)

Understanding Mobile-Specific Code Smells. (Comprendre les défauts de code spécifiques aux applications mobiles). - Sarra Habchi (2019)

A Replication Study on the Usability of Code Vocabulary in Predicting Flaky Tests. - Guillaume Haben; Sarra Habchi; Mike Papadakis; Maxime Cordy; Yves Le Traon (MSR, 2021)

On the Use of Mutation in Injecting Test Order-Dependency. - Sarra Habchi; Maxime Cordy; Mike Papadakis; Yves Le Traon (CoRR, 2021)

Discerning Legitimate Failures From False Alerts: A Study of Chromium's Continuous Integration. - Guillaume Haben; Sarra Habchi; Mike Papadakis; Maxime Cordy; Yves Le Traon (CoRR, 2021)

Android code smells: From introduction to refactoring. - Sarra Habchi; Naouel Moha; Romain Rouvoy (J. Syst. Softw., 2021)

An empirical study of async wait flakiness in front-end testing. - Yu Pei; Sarra Habchi; Renaud Rwemalika; Jeongju Sohn; Mike Papadakis (BENEVOL, 2022)

What Made This Test Flake? Pinpointing Classes Responsible for Test Flakiness. - Sarra Habchi; Guillaume Haben; Jeongju Sohn; Adriano Franci; Mike Papadakis; Maxime Cordy; Yves Le Traon (ICSME, 2022)

A Qualitative Study on the Sources, Impacts, and Mitigation Strategies of Flaky Tests. - Sarra Habchi; Guillaume Haben; Mike Papadakis; Maxime Cordy; Yves Le Traon (ICST, 2022)

Predicting Flaky Tests Categories using Few-Shot Learning. - Amal Akli; Guillaume Haben; Sarra Habchi; Mike Papadakis; Yves Le Traon (CoRR, 2022)

FlakyCat: Predicting Flaky Tests Categories using Few-Shot Learning. - Amal Akli; Guillaume Haben; Sarra Habchi; Mike Papadakis; Yves Le Traon (AST, 2023)

Performance Prediction From Source Code Is Task and Domain Specific. - Markus Böck; Sarra Habchi; Mathieu Nayrolles; Jürgen Cito (ICPC, 2023)

ImageNet-Hard: The Hardest Images Remaining from a Study of the Power of Zoom and Spatial Biases in Image Classification. - Mohammad Reza Taesiri; Giang Nguyen 004; Sarra Habchi; Cor-Paul Bezemer; Anh Nguyen 002 (NeurIPS, 2023)

The Importance of Discerning Flaky from Fault-triggering Test Failures: A Case Study on the Chromium CI. - Guillaume Haben; Sarra Habchi; Mike Papadakis; Maxime Cordy; Yves Le Traon (CoRR, 2023)

Zoom is what you need: An empirical study of the power of zoom and spatial biases in image classification. - Mohammad Reza Taesiri; Giang Nguyen 004; Sarra Habchi; Cor-Paul Bezemer; Anh Nguyen 002 (CoRR, 2023)

Time-based Repair for Asynchronous Wait Flaky Tests in Web Testing. - Yu Pei; Jeongju Sohn; Sarra Habchi; Mike Papadakis (CoRR, 2023)

Towards Lifelong Learning for Software Analytics Models: Empirical Study on Brown Build and Risk Prediction. - Doriane Olewicki; Sarra Habchi; Mathieu Nayrolles; Mojtaba Faramarzi; Sarath Chandar; Bram Adams (CoRR, 2023)

Smells in system user interactive tests. - Renaud Rwemalika; Sarra Habchi; Mike Papadakis; Yves Le Traon; Marie-Claude Brasseur (Empir. Softw. Eng., 2023)

On the Costs and Benefits of Adopting Lifelong Learning for Software Analytics - Empirical Study on Brown Build and Risk Prediction. - Doriane Olewicki; Sarra Habchi; Mathieu Nayrolles; Mojtaba Faramarzi; Sarath Chandar; Bram Adams (ICSE-SEIP, 2024)

Code Impact Beyond Disciplinary Boundaries: Constructing a Multidisciplinary Dependency Graph and Analyzing Cross-Boundary Impact. - Gengyi Sun; Mehran Meidani; Sarra Habchi; Mathieu Nayrolles; Shane McIntosh (ICSE-SEIP, 2024)

The Importance of Accounting for Execution Failures when Predicting Test Flakiness. - Guillaume Haben; Sarra Habchi; John Micco; Mark Harman; Mike Papadakis; Maxime Cordy; Yves Le Traon (ASE, 2024)

An empirical study on code review activity prediction in practice. - Doriane Olewicki; Sarra Habchi; Bram Adams (CoRR, 2024)

Impact of LLM-based Review Comment Generation in Practice: A Mixed Open-/Closed-source User Study. - Doriane Olewicki; Léuson M. P. da Silva; Suhaib Mujahid; Arezou Amini; Benjamin Mah; Marco Castelluccio; Sarra Habchi; Foutse Khomh; Bram Adams (CoRR, 2024)

An Empirical Study on Code Review Activity Prediction and Its Impact in Practice. - Doriane Olewicki; Sarra Habchi; Bram Adams (Proc. ACM Softw. Eng., 2024)

RavenBuild: Context, Relevance, and Dependency Aware Build Outcome Prediction. - Gengyi Sun; Sarra Habchi; Shane McIntosh (Proc. ACM Softw. Eng., 2024)

Searching Bug Instances in Gameplay Video Repositories. - Mohammad Reza Taesiri; Finlay Macklon; Sarra Habchi; Cor-Paul Bezemer (IEEE Trans. Games, 2024)

Crash Report Prioritization for Large-Scale Scheduled Launches. - Nimmi Rashinika Weeraddana; Sarra Habchi; Shane McIntosh (SEIP@ICSE, 2025)

Non-Flaky and Nearly Optimal Time-Based Treatment of Asynchronous Wait Web Tests. - Yu Pei; Jeongju Sohn; Sarra Habchi; Mike Papadakis (ACM Trans. Softw. Eng. Methodol., 2025)