Vincenzo Riccio
Orcid: 0000-0002-6229-8231
According to our database1,
Vincenzo Riccio
authored at least 42 papers
between 2015 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2024
ACM Trans. Softw. Eng. Methodol., July, 2024
Empir. Softw. Eng., July, 2024
RAMSES: An Artifact Exemplar for Engineering Self-Adaptive Microservice Applications.
Proceedings of the 19th International Symposium on Software Engineering for Adaptive and Self-Managing Systems, 2024
2023
Replication Package: DeepAtash-LR: Focused Test Generation for Autonomous Driving Systems.
Dataset, December, 2023
Summary of the Fourth International Workshop on Deep Learning for Testing and Testing for Deep Learning (DeepTest 2023).
ACM SIGSOFT Softw. Eng. Notes, October, 2023
Dataset, July, 2023
Dataset, July, 2023
Dataset, July, 2023
Dataset, July, 2023
Dataset, July, 2023
Dataset, July, 2023
Dataset, July, 2023
Dataset, July, 2023
Replication Package: An Empirical Study on Low- and High-Level Explanations of Deep Learning Misbehaviours.
Dataset, July, 2023
Replication Package: An Empirical Study on Low- and High-Level Explanations of Deep Learning Misbehaviours.
Dataset, July, 2023
ACM Trans. Softw. Eng. Methodol., April, 2023
DeepHyperion: Exploring the Feature Space of Deep Learning-based Systems through Illumination Search.
Proceedings of the Software Engineering 2023, 2023
Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023
Proceedings of the Service-Oriented Computing - 21st International Conference, 2023
When and Why Test Generators for Deep Learning Produce Invalid Inputs: an Empirical Study.
Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023
Proceedings of the IEEE/ACM International Workshop on Search-Based and Fuzz Testing, 2023
An Empirical Study on Low- and High-Level Explanations of Deep Learning Misbehaviours.
Proceedings of the ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2023
2022
Does Road Diversity Really Matter in Testing Automated Driving Systems? - A Registered Report.
CoRR, 2022
Proceedings of the 15th IEEE/ACM International Workshop on Search-Based Software Testing, 2022
2021
Replication Package: DeepHyperion: Exploring the Feature Space of Deep Learning-Based Systems through Illumination Search.
Dataset, July, 2021
Replication Package: DeepHyperion: Exploring the Feature Space of Deep Learning-Based Systems through Illumination Search.
Dataset, July, 2021
Experimental data for "DeepMetis: Augmenting a Deep Learning Test Set to Increase its Mutation Score" paper.
Dataset, July, 2021
Proceedings of the 14th IEEE/ACM International Workshop on Search-Based Software Testing, 2021
Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021
2020
Empir. Softw. Eng., 2020
Do Memories Haunt You? An Automated Black Box Testing Approach for Detecting Memory Leaks in Android Apps.
IEEE Access, 2020
Model-based exploration of the frontier of behaviours for deep learning system testing.
Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020
Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June, 2020
2019
Combining Automated GUI Exploration of Android apps with Capture and Replay through Machine Learning.
Inf. Softw. Technol., 2019
2018
PhD thesis, 2018
Why does the orientation change mess up my Android application? From GUI failures to code faults.
Softw. Test. Verification Reliab., 2018
Is this the lifecycle we really want?: an automated black-box testing approach for Android activities.
Proceedings of the Companion Proceedings for the ISSTA/ECOOP 2018 Workshops, 2018
2017
Towards a Thing-In-the-Loop approach for the Verification and Validation of IoT systems.
Proceedings of the 1st ACM Workshop on the Internet of Safe Things, 2017
2015
Comparing Model Coverage and Code Coverage in Model Driven Testing: An Exploratory Study.
Proceedings of the 30th IEEE/ACM International Conference on Automated Software Engineering Workshops, 2015