Published in International Conference on Software Maintenance and Evolution (ICSME 2022), 2012
What made this test flake? pinpointing classes responsible for test flakiness
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Published in International Conference on Mobile Software Engineering and Systems (MOBILESoft), 2017
Code smells in iOS apps: How do they compare to Android?
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Published in International Conference on Automated Software Engineering (ASE 2018), 2018
On adopting linters to deal with performance concerns in Android apps
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Published in International Conference on Mobile Software Engineering and Systems (MOBILESoft 2019), 2019
On the survival of Android code smells in the wild
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Published in International Conference on Mining Software Repositories (MSR 2019), 2019
The rise of Android code smells: who is to blame?
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Published in International Conference on Mining Software Repositories (MSR 2021), 2021
A Replication Study on the Usability of Code Vocabulary in Predicting Flaky Tests
Published in Journal of Systems and Software, 2021
Android Code Smells: From Introduction to Refactoring
Published in IEEE Conference on Software Testing, Verification and Validation (ICST 2022), 2021
A qualitative study on the sources, impacts, and mitigation strategies of flaky tests
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Published in International Conference on Program Comprehension (ICPC 2023), 2023
Performance Prediction From Source Code Is Task and Domain Specific
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FlakyCat: Predicting Flaky Tests Categories using Few-Shot Learning
Published in IEEE/ACM International Conference on Automation of Software Test (AST 2023), 2023
FlakyCat: Predicting Flaky Tests Categories using Few-Shot Learning
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Graduate course, Master in Information System Security Management, University of Luxembourg, 2021
The course aims at presenting design techniques to develop a secure software integrating persistency. The course is two-fold: the first part is about development methodologies, modeling, and testing, while the second one focuses on secured databases.
Graduate course, Interdisciplinary Space Master, University of Luxembourg, 2021
This course aims to provide an overview of machine learning techniques and their applications in the space field.