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Tahereh Zohdinasab
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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
542021
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
222023
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
102017
A survey on formal, object-oriented program development approaches
M Najafi, H Haghighi, T Zohdi Nasab
Scientia Iranica 22 (3), 1001-1017, 2015
72015
A set of refactoring rules for UML-B specifications
M Najafi, H Haghighi, TZ Nasab
Computing and Informatics 35 (2), 411-440, 2016
42016
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
12023
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
2023
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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