Taxonomy of real faults in deep learning systems N Humbatova, G Jahangirova, G Bavota, V Riccio, A Stocco, P Tonella Proceedings of the ACM/IEEE 42nd International Conference on Software …, 2020 | 286 | 2020 |
Testing machine learning based systems: a systematic mapping V Riccio, G Jahangirova, A Stocco, N Humbatova, M Weiss, P Tonella Empirical Software Engineering 25, 5193-5254, 2020 | 251 | 2020 |
DeepCrime: mutation testing of deep learning systems based on real faults N Humbatova, G Jahangirova, P Tonella Proceedings of the 30th ACM SIGSOFT International Symposium on Software …, 2021 | 120 | 2021 |
DeepMetis: Augmenting a Deep Learning Test Set to Increase its Mutation Score V Riccio, N Humbatova, G Jahangirova, P Tonella 2021 36th IEEE/ACM International Conference on Automated Software …, 2021 | 48 | 2021 |
Repairing dnn architecture: Are we there yet? J Kim, N Humbatova, G Jahangirova, P Tonella, S Yoo 2023 IEEE Conference on Software Testing, Verification and Validation (ICST …, 2023 | 22 | 2023 |
Deepcrime: from real faults to mutation testing tool for deep learning N Humbatova, G Jahangirova, P Tonella 2023 IEEE/ACM 45th International Conference on Software Engineering …, 2023 | 4 | 2023 |
muPRL: A Mutation Testing Pipeline for Deep Reinforcement Learning based on Real Faults DG Thomas, M Biagiola, N Humbatova, M Wardat, G Jahangirova, ... arXiv preprint arXiv:2408.15150, 2024 | 1 | 2024 |
Spectral Analysis of the Relation between Deep Learning Faults and Neural Activation Values N Humbatova, G Jahangirova, P Tonella 17th IEEE International Conference on Software Testing, Verification and …, 2024 | 1 | 2024 |