Publications

2025

Benchmarking Generative AI Models for Deep Learning Test Input Generation
Maryam, Matteo Biagiola, Andrea Stocco, and Vincenzo Riccio
In Proceedings of the 18th IEEE International Conference on Software Testing, Verification and Validation (ICST 2025)
[PDF]

Focused Test Generation for Autonomous Driving Systems
Tahereh Zohdinasab, Vincenzo Riccio, and Paolo Tonella
ACM Transactions on Software Engineering and Methodology (TOSEM 2024)
[PDF]
Two is Better Than One: Digital Siblings to Improve Autonomous Driving Testing
Matteo Biagiola, Andrea Stocco, Vincenzo Riccio, and Paolo Tonella
Empirical Software Engineering (EMSE)
[PDF]

An Empirical Study on Low- and High-Level Explanations of Deep Learning Misbehaviours
Tahereh Zohdinasab, Vincenzo Riccio, and Paolo Tonella
In Proceedings of the 17th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM 2023) [PDF] [slides]
DeepAtash: Focused Test Generation for Deep Learning Systems
Tahereh Zohdinasab, Vincenzo Riccio, and Paolo Tonella
In Proceedings of the ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA 2023)
[PDF] [slides]
SBFT Tool Competition 2023 - Cyber-Physical Systems Track
Matteo Biagiola, Stefan Klikovits, Jarkko Peltomaki, and Vincenzo Riccio
In Proceedings of the IEEE/ACM 45th International Conference on Software Engineering Workshops (SBST@ICSE 2023)
[PDF]
When and Why Test Generators for Deep Learning Produce Invalid Inputs: an Empirical Study
Vincenzo Riccio, Paolo Tonella
In Proceedings of the 45th ACM/IEEE International Conference on Software Engineering (ICSE)
[PDF] [slides]
Efficient and Effective Feature Space Exploration for Testing Deep Learning Systems
Tahereh Zohdinasab, Vincenzo Riccio, Alessio Gambi, and Paolo Tonella
ACM Transactions on Software Engineering and Methodology (TOSEM)
[PDF]

Does Road Diversity Really Matter in Testing Automated Driving Systems? – A Registered Report
Stefan Klikovits, Vincenzo Riccio, Ezequiel Castellano, Ahmet Cetinkaya, Alessio Gambi, Paolo Arcaini
Presented at the 16th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM)
[PDF] [slides]
SBST Tool Competition 2022
Alessio Gambi, Gunel Jahangirova, Vincenzo Riccio, and Fiorella Zampetti
In Proceedings of the IEEE/ACM 44th International Conference on Software Engineering Workshops (SBST@ICSE 2022)
[PDF]

DeepMetis: Augmenting a Deep Learning Test Set to Increase its Mutation Score
Vincenzo Riccio, Nargiz Humbatova, Gunel Jahangirova, and Paolo Tonella
In Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering (ASE 2021)
[PDF] [slides]
DeepHyperion: Exploring the Feature Space of DeepLearning-Based Systems through Illumination Search
Tahereh Zohdinasab, Vincenzo Riccio, Alessio Gambi, and Paolo Tonella
In Proceedings of the ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA 2021)
[PDF][slides]
SBST Tool Competition 2021
Sebastiano Panichella, Alessio Gambi, Fiorella Zampetti, and Vincenzo Riccio
In Proceedings of the IEEE/ACM 43rd International Conference on Software Engineering Workshops (SBST@ICSE 2021)
[PDF] [slides]

Model-based exploration of the frontier of behaviours for deep learning system testing
Vincenzo Riccio and Paolo Tonella
In Proceedings of the 28th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE 2020)
[PDF] [slides]
Testing Machine Learning based Systems: A Systematic Mapping
Vincenzo Riccio, Gunel Jahangirova, Andrea Stocco, Nargiz Humbatova, Michael Weiss, and Paolo Tonella
Empirical Software Engineering (EMSE)
[PDF]
Taxonomy of Real Faults in Deep Learning Systems
Nargiz Humbatova, Gunel Jahangirova, Gabriele Bavota, Vincenzo Riccio, Andrea Stocco, and Paolo Tonella
In Proceedings of 42nd International Conference on Software Engineering (ICSE 2020)
[PDF]
Do Memories Haunt You? An Automated Black Box Testing Approach for Detecting Memory Leaks in Android Apps
Domenico Amalfitano, Vincenzo Riccio, Porfirio Tramontana, and Anna Rita Fasolino
IEEE Access
[PDF]

Combining automated gui exploration of android apps with capture and replay through machine learning
Domenico Amalfitano, Vincenzo Riccio, Nicola Amatucci, Vincenzo De Simone, and Anna Rita Fasolino
Information and Software Technology (IST)
[PDF]

Is this the lifecycle we really want? an automated black-box testing approach for Android activities
Vincenzo Riccio, Domenico Amalfitano, and Anna Rita Fasolino
In Companion Proceedings for the ISSTA/ECOOP 2018 Workshops (INTUITESTBEDS@ISSTA/ECOOP 2018)
[PDF] [slides]
Why does the orientation change mess up my Android application? From GUI failures to code faults
Domenico Amalfitano, Vincenzo Riccio, Ana CR Paiva, and Anna Rita Fasolino
Software Testing, Verification and Reliability (STVR 2018)
[PDF]

Towards a thing-in-the-loop approach for the verification and validation of IoT systems
Domenico Amalfitano, Nicola Amatucci, Vincenzo De Simone, Vincenzo Riccio, and Anna Rita Fasolino
In Proceedings of the 1st ACM Workshop on the Internet of Safe Things (SafeThings@SenSys 2017)
[PDF]

Comparing model coverage and code coverage in model driven testing: an exploratory study
Domenico Amalfitano, Vincenzo De Simone, Anna Rita Fasolino, and Vincenzo Riccio
In Proceedings of the 30th IEEE/ACM International Conference on Automated Software Engineering Workshop (TESTBEDS@ASE 2015)
[PDF]