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Vincenzo Riccio
Vincenzo Riccio
Postdoctoral Researcher, Università della Svizzera Italiana
Verified email at usi.ch - Homepage
Title
Cited by
Cited by
Year
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
1152020
Testing machine learning based systems: a systematic mapping
V Riccio, G Jahangirova, A Stocco, N Humbatova, M Weiss, P Tonella
Empirical Software Engineering 25 (6), 5193-5254, 2020
812020
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
452020
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
312018
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
282019
Sbst tool competition 2021
S Panichella, A Gambi, F Zampetti, V Riccio
2021 IEEE/ACM 14th International Workshop on Search-Based Software Testing …, 2021
232021
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
112021
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
102020
SBST tool competition 2022
A Gambi, G Jahangirova, V Riccio, F Zampetti
2022 IEEE/ACM 15th International Workshop on Search-Based Software Testing …, 2022
92022
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
92018
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
42017
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
32021
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
22015
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
2022
Enhancing Automated GUI Exploration Techniques for Android Mobile Applications
V Riccio
Università degli Studi di Napoli Federico II, 2019
2019
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, 0
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