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DANG Xueqi

University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SerVal

ORCID
0000-0003-4097-9543
Main Referenced Co-authors
LI, Yinghua  (10)
BISSYANDE, Tegawendé  (9)
KLEIN, Jacques  (9)
LE TRAON, Yves  (4)
Ma, Lei (3)
Main Referenced Keywords
Codes (1); Complexity theory (1); Graph Neural Networks (1); Large language models (1); Measurement (1);
Main Referenced Disciplines
Computer science (11)

Publications (total 11)

The most downloaded
221 downloads
DANG, X. (2025). Learning-based Test Input Prioritization for Machine Learning Systems [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/64739 https://hdl.handle.net/10993/64739

The most cited

18 citations (Scopus®)

DANG, X., LI, Y., PAPADAKIS, M., KLEIN, J., BISSYANDE, T. F. D. A., & LE TRAON, Y. (2023). GraphPrior: Mutation-based Test Input Prioritization for Graph Neural Networks. ACM Transactions on Software Engineering and Methodology. doi:10.1145/3607191 https://hdl.handle.net/10993/56068

OUEDRAOGO, W. A. M. C., LI, Y., DANG, X., Zhou, X., KOYUNCU, A., KLEIN, J., Lo, D., & BISSYANDE, T. (2025). Rethinking Cognitive Complexity for Unit Tests: Toward a Readability-Aware Metric Grounded in Developer Perception. 2025 IEEE International Conference on Software Maintenance and Evolution, 797-802. doi:10.1109/icsme64153.2025.00082
Peer reviewed

LI, Y., DANG, X., OUEDRAOGO, W. A. M. C., KLEIN, J., & BISSYANDE, T. (2025). AudioTest: Prioritizing Audio Test Cases. In AudioTest: Prioritizing Audio Test Cases. 34th ACM SIGSOFT International Symposium on Software Testing and Analysis. doi:10.1145/3728907
Peer reviewed

LI, Y., DANG, X., KLEIN, J., Le Traon, Y., & BISSYANDE, T. (2025). PriCod: Prioritizing Test Inputs for Compressed Deep Neural Networks. ACM Transactions on Software Engineering and Methodology. doi:10.1145/3730435
Peer Reviewed verified by ORBi

DANG, X. (2025). Learning-based Test Input Prioritization for Machine Learning Systems [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/64739

LI, Y., DANG, X., Tian, H., SUN, T., Wang, Z., Ma, L., KLEIN, J., & BISSYANDE, T. F. D. A. (2024). An Empirical Study of AI Techniques in Mobile Applications. Journal of Systems and Software. doi:10.1016/j.jss.2024.112233
Peer Reviewed verified by ORBi

DANG, X., LI, Y., Wei Ma, Yuejun Guo, Qiang Hu, PAPADAKIS, M., CORDY, M., & LE TRAON, Y. (22 July 2024). Towards Exploring the Limitations of Test Selection Techniques on Graph Neural Networks: An Empirical Study. Empirical Software Engineering, 29 (5). doi:10.1007/s10664-024-10515-y
Peer Reviewed verified by ORBi

LI, Y., DANG, X., Ma, L., KLEIN, J., & BISSYANDE, T. F. D. A. (22 July 2024). Prioritizing test cases for deep learning-based video classifiers. Empirical Software Engineering, 29 (5), 111. doi:10.1007/s10664-024-10520-1
Peer Reviewed verified by ORBi

LI, Y., DANG, X., Ma, L., KLEIN, J., LE TRAON, Y., & BISSYANDE, T. F. D. A. (04 June 2024). Test Input Prioritization for 3D Point Clouds. ACM Transactions on Software Engineering and Methodology, 33 (5), 1-44. doi:10.1145/3643676
Peer Reviewed verified by ORBi

LI, Y., DANG, X., PIAN, W., Habib, A., KLEIN, J., & BISSYANDE, T. F. D. A. (05 April 2024). Test Input Prioritization for Graph Neural Networks. IEEE Transactions on Software Engineering, 50 (6), 1396 - 1424. doi:10.1109/TSE.2024.3385538
Peer Reviewed verified by ORBi

DANG, X.* , LI, Y.* , PAPADAKIS, M., KLEIN, J., BISSYANDE, T. F. D. A., & LE TRAON, Y. (05 January 2024). Test Input Prioritization for Machine Learning Classifiers. IEEE Transactions on Software Engineering, 50 (3), 413 - 442. doi:10.1109/TSE.2024.3350019
Peer Reviewed verified by ORBi
* These authors have contributed equally to this work.

DANG, X., LI, Y., PAPADAKIS, M., KLEIN, J., BISSYANDE, T. F. D. A., & LE TRAON, Y. (2023). GraphPrior: Mutation-based Test Input Prioritization for Graph Neural Networks. ACM Transactions on Software Engineering and Methodology. doi:10.1145/3607191
Peer Reviewed verified by ORBi

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