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AKLI Amal

University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)

Main Referenced Co-authors
CORDY, Maxime  (1)
Habchi, Sarra (1)
HABEN, Guillaume  (1)
LE TRAON, Yves  (1)
Le Traon, Yves (1)
Main Referenced Keywords
AutoML (1); CodeBERT (1); Few-Shot learning (1); Flaky Tests (1); NAS (1);
Main Referenced Unit & Research Centers
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > SerVal - Security, Reasoning & Validation (1)
Main Referenced Disciplines
Computer science (2)

Publications (total 2)

The most downloaded
452 downloads
AKLI, A., HABEN, G., Habchi, S., PAPADAKIS, M., & LE TRAON, Y. (2023). FlakyCat: Predicting Flaky Tests Categories using Few-Shot Learning. In FlakyCat: Predicting Flaky Tests Categories using Few-Shot Learning. doi:10.1109/AST58925.2023.00018 https://hdl.handle.net/10993/55848

The most cited

16 citations (OpenAlex)

AKLI, A., HABEN, G., Habchi, S., PAPADAKIS, M., & LE TRAON, Y. (2023). FlakyCat: Predicting Flaky Tests Categories using Few-Shot Learning. In FlakyCat: Predicting Flaky Tests Categories using Few-Shot Learning. doi:10.1109/AST58925.2023.00018 https://hdl.handle.net/10993/55848

AKLI, A., CORDY, M., Papadakis, M., & Le Traon, Y. (2025). AutoAdapt: On the Application of AutoML for Parameter-Efficient Fine-Tuning of Pre-Trained Code Models. ACM Transactions on Software Engineering and Methodology. doi:10.1145/3734867
Peer Reviewed verified by ORBi

AKLI, A., HABEN, G., Habchi, S., PAPADAKIS, M., & LE TRAON, Y. (2023). FlakyCat: Predicting Flaky Tests Categories using Few-Shot Learning. In FlakyCat: Predicting Flaky Tests Categories using Few-Shot Learning. doi:10.1109/AST58925.2023.00018
Peer reviewed

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