GraphPrior: Mutation-based test input prioritization for graph neural networks X Dang, Y Li, M Papadakis, J Klein, TF Bissyandé, Y Le Traon ACM Transactions on Software Engineering and Methodology 33 (1), 1-40, 2023 | 15 | 2023 |
Ai-driven mobile apps: an explorative study Y Li, X Dang, H Tian, T Sun, Z Wang, L Ma, J Klein, TF Bissyande arXiv preprint arXiv:2212.01635, 2022 | 13 | 2022 |
Test input prioritization for machine learning classifiers X Dang, Y Li, M Papadakis, J Klein, TF Bissyandé, Y Le Traon IEEE Transactions on Software Engineering, 2024 | 9 | 2024 |
Test input prioritization for 3d point clouds Y Li, X Dang, L Ma, J Klein, Y Le Traon, TF Bissyandé ACM Transactions on Software Engineering and Methodology 33 (5), 1-44, 2024 | 5 | 2024 |
Prioritizing test cases for deep learning-based video classifiers Y Li, X Dang, L Ma, J Klein, TF Bissyandé Empirical Software Engineering 29 (5), 111, 2024 | 1 | 2024 |
Towards exploring the limitations of test selection techniques on graph neural networks: An empirical study X Dang, Y Li, W Ma, Y Guo, Q Hu, M Papadakis, M Cordy, YL Traon Empirical Software Engineering 29 (5), 112, 2024 | 1 | 2024 |
Test Input Prioritization for Graph Neural Networks Y Li, X Dang, W Pian, A Habib, J Klein, T Bissyandé IEEE Transactions on Software Engineering, 2024 | 1 | 2024 |
An empirical study of AI techniques in mobile applications Y Li, X Dang, H Tian, T Sun, Z Wang, L Ma, J Klein, TF Bissyandé Journal of Systems and Software 219, 112233, 2025 | | 2025 |