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 | 242 | 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 | 196 | 2020 |
Model-based exploration of the frontier of behaviours for deep learning system testing V Riccio, P Tonella Proceedings of the 28th ACM Joint Meeting on European Software Engineering …, 2020 | 114 | 2020 |
Sbst tool competition 2021 S Panichella, A Gambi, F Zampetti, V Riccio 2021 IEEE/ACM 14th International Workshop on Search-Based Software Testing …, 2021 | 59 | 2021 |
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 | 58 | 2021 |
Why does the orientation change mess up my Android application? From GUI failures to code faults D Amalfitano, V Riccio, ACR Paiva, AR Fasolino Software Testing, Verification and Reliability 28 (1), e1654, 2018 | 44 | 2018 |
Combining automated gui exploration of android apps with capture and replay through machine learning D Amalfitano, V Riccio, N Amatucci, V De Simone, AR Fasolino Information and Software Technology 105, 95-116, 2019 | 41 | 2019 |
SBST tool competition 2022 A Gambi, G Jahangirova, V Riccio, F Zampetti Proceedings of the 15th Workshop on Search-Based Software Testing, 25-32, 2022 | 39 | 2022 |
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 | 30 | 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 | 27 | 2023 |
Do memories haunt you? An automated black box testing approach for detecting memory leaks in android apps D Amalfitano, V Riccio, P Tramontana, AR Fasolino IEEE Access 8, 12217-12231, 2020 | 21 | 2020 |
SBFT Tool Competition 2023-Cyber-Physical Systems Track B Matteo, K Stefan, P Jarkko, V Riccio Proceedings of the IEEE/ACM 45th International Conference on Software …, 2023 | 19* | 2023 |
When and why test generators for deep learning produce invalid inputs: an empirical study V Riccio, P Tonella 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE …, 2023 | 15 | 2023 |
Is this the lifecycle we really want? an automated black-box testing approach for Android activities V Riccio, D Amalfitano, AR Fasolino Companion Proceedings for the ISSTA/ECOOP 2018 Workshops, 68-77, 2018 | 13 | 2018 |
Towards a Thing-In-the-Loop approach for the verification and validation of IoT systems D Amalfitano, N Amatucci, V De Simone, V Riccio, FA Rita Proceedings of the 1st ACM Workshop on the Internet of Safe Things, 57-63, 2017 | 10 | 2017 |
Comparing model coverage and code coverage in model driven testing: an exploratory study D Amalfitano, V De Simone, AR Fasolino, V Riccio 2015 30th IEEE/ACM International Conference on Automated Software …, 2015 | 4 | 2015 |
Two is better than one: digital siblings to improve autonomous driving testing M Biagiola, A Stocco, V Riccio, P Tonella Empirical Software Engineering 29 (4), 1-33, 2024 | 3 | 2024 |
Does Road Diversity Really Matter in Testing Automated Driving Systems?--A Registered Report S Klikovits, V Riccio, E Castellano, A Cetinkaya, A Gambi, P Arcaini arXiv preprint arXiv:2209.05947, 2022 | 3 | 2022 |
DeepAtash: Focused Test Generation for Deep Learning Systems Z Tahereh, V Riccio, T Paolo Proceedings of the ACM SIGSOFT International Symposium on Software Testing …, 2023 | 2* | 2023 |
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 | 1 | 2023 |