Deephyperion: exploring the feature space of deep learning-based systems through illumination search T Zohdinasab, V Riccio, A Gambi, P Tonella Proceedings of the 30th ACM SIGSOFT International Symposium on Software …, 2021 | 57 | 2021 |
Efficient and effective feature space exploration for testing deep learning systems T Zohdinasab, V Riccio, A Gambi, P Tonella ACM Transactions on Software Engineering and Methodology 32 (2), 1-38, 2023 | 26 | 2023 |
Using swarm intelligence to generate test data for covering prime paths A Monemi Bidgoli, H Haghighi, T Zohdi Nasab, H Sabouri Fundamentals of Software Engineering: 7th International Conference, FSEN …, 2017 | 10 | 2017 |
A survey on formal, object-oriented program development approaches M Najafi, H Haghighi, T Zohdi Nasab Scientia Iranica 22 (3), 1001-1017, 2015 | 7 | 2015 |
A set of refactoring rules for UML-B specifications M Najafi, H Haghighi, TZ Nasab Computing and Informatics 35 (2), 411-440, 2016 | 4 | 2016 |
An Empirical Study on Low-and High-Level Explanations of Deep Learning Misbehaviours T Zohdinasab, V Riccio, P Tonella 2023 ACM/IEEE International Symposium on Empirical Software Engineering and …, 2023 | 2 | 2023 |
Deepatash: Focused test generation for deep learning systems T Zohdinasab, V Riccio, P Tonella Proceedings of the 32nd ACM SIGSOFT International Symposium on Software …, 2023 | 2 | 2023 |
Focused Test Generation for Autonomous Driving Systems T Zohdinasab, V Riccio, P Tonella ACM Transactions on Software Engineering and Methodology, 2024 | | 2024 |
Exposing and explaining misbehaviours of deep learning systems T Zohdinasab | | 2024 |
DeepHyperion: Exploring the Feature Space of Deep Learning-based Systems through Illumination Search A Gambi, P Tonella, V Riccio, T Zohdinasab Software Engineering 2023-Fachtagung des GI-Fachbereichs Softwaretechnik …, 2023 | | 2023 |