Sarra Habchi

Orcid: 0000-0002-5989-1413

Affiliations:
  • Ubisoft, Montreal, Quebec, Canada
  • University of Luxembourg (former)


According to our database1, Sarra Habchi authored at least 27 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Searching Bug Instances in Gameplay Video Repositories.
IEEE Trans. Games, September, 2024

RavenBuild: Context, Relevance, and Dependency Aware Build Outcome Prediction.
Proc. ACM Softw. Eng., 2024

An Empirical Study on Code Review Activity Prediction and Its Impact in Practice.
Proc. ACM Softw. Eng., 2024

An empirical study on code review activity prediction in practice.
CoRR, 2024

Code Impact Beyond Disciplinary Boundaries: Constructing a Multidisciplinary Dependency Graph and Analyzing Cross-Boundary Impact.
Proceedings of the 46th International Conference on Software Engineering: Software Engineering in Practice, 2024

On the Costs and Benefits of Adopting Lifelong Learning for Software Analytics - Empirical Study on Brown Build and Risk Prediction.
Proceedings of the 46th International Conference on Software Engineering: Software Engineering in Practice, 2024

2023
Smells in system user interactive tests.
Empir. Softw. Eng., 2023

Towards Lifelong Learning for Software Analytics Models: Empirical Study on Brown Build and Risk Prediction.
CoRR, 2023

Time-based Repair for Asynchronous Wait Flaky Tests in Web Testing.
CoRR, 2023

Zoom is what you need: An empirical study of the power of zoom and spatial biases in image classification.
CoRR, 2023

The Importance of Discerning Flaky from Fault-triggering Test Failures: A Case Study on the Chromium CI.
CoRR, 2023

ImageNet-Hard: The Hardest Images Remaining from a Study of the Power of Zoom and Spatial Biases in Image Classification.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Performance Prediction From Source Code Is Task and Domain Specific.
Proceedings of the 31st IEEE/ACM International Conference on Program Comprehension, 2023

FlakyCat: Predicting Flaky Tests Categories using Few-Shot Learning.
Proceedings of the IEEE/ACM International Conference on Automation of Software Test, 2023

2022
Predicting Flaky Tests Categories using Few-Shot Learning.
CoRR, 2022

A Qualitative Study on the Sources, Impacts, and Mitigation Strategies of Flaky Tests.
Proceedings of the 15th IEEE Conference on Software Testing, Verification and Validation, 2022

What Made This Test Flake? Pinpointing Classes Responsible for Test Flakiness.
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2022

An empirical study of async wait flakiness in front-end testing.
Proceedings of the Belgium-Netherlands Software Evolution Workshop, 2022

2021
Android code smells: From introduction to refactoring.
J. Syst. Softw., 2021

Discerning Legitimate Failures From False Alerts: A Study of Chromium's Continuous Integration.
CoRR, 2021

On the Use of Mutation in Injecting Test Order-Dependency.
CoRR, 2021

A Replication Study on the Usability of Code Vocabulary in Predicting Flaky Tests.
Proceedings of the 18th IEEE/ACM International Conference on Mining Software Repositories, 2021

2019
Understanding Mobile-Specific Code Smells. (Comprendre les défauts de code spécifiques aux applications mobiles).
PhD thesis, 2019

The rise of Android code smells: who is to blame?
Proceedings of the 16th International Conference on Mining Software Repositories, 2019

On the survival of Android code smells in the wild.
Proceedings of the 6th International Conference on Mobile Software Engineering and Systems, 2019

2018
On adopting linters to deal with performance concerns in Android apps.
Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering, 2018

2017
Code Smells in iOS Apps: How Do They Compare to Android?
Proceedings of the 4th IEEE/ACM International Conference on Mobile Software Engineering and Systems, 2017


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