Vincenzo Riccio

42 papers A* 3A 4C 1Journal 22Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
HyperNet-Adaptation for Diffusion-Based Test Case Generation.
CoRR
Oliver Weißl, Vincenzo Riccio, Severin Kacianka, Andrea Stocco
2026 J jnl
XMutant: XAI-based fuzzing for deep learning systems.
Empir. Softw. Eng.
Xingcheng Chen, Matteo Biagiola, Vincenzo Riccio, Marcelo d'Amorim, Andrea Stocco
2025 J jnl
An industrial experience report on applying search-based boundary input generation to cyber-physical systems.
Empir. Softw. Eng.
Pablo Valle, Vincenzo Riccio, Aitor Arrieta, Paolo Tonella, Maite Arratibel
2025 A conf
Benchmarking Generative AI Models for Deep Learning Test Input Generation.
ICST
Maryam, Matteo Biagiola, Andrea Stocco, Vincenzo Riccio
2025 — conf
From Edge to Cloud: Securing Distributed Containerized Applications.
EuroS&P (Workshops)
Luca Verderame, Giorgia Bolognesi, Enrico Pezzano, Massimiliano Rak, Alberto Falcone, Giacomo Benedetti, Massimo Guarascio, Luca Caviglione, Roberto Carbone, Roberto Doriguzzi Corin, Maurizio Giacobbe, Giovanni Merlino, Antonio Puliafito, Massimiliano Baldo, Marino Miculan, Vincenzo Riccio, Massimo Ficco
2025 — conf
OWSM: Empowering Rego for Stateful Access Control.
ITASEC/SERICS
Massimiliano Baldo, Fabio Ionut Ion, Marino Miculan, Matteo Paier, Vincenzo Riccio
2025 J jnl
XMutant: XAI-based Fuzzing for Deep Learning Systems.
CoRR
Xingcheng Chen, Matteo Biagiola, Vincenzo Riccio, Marcelo d'Amorim, Andrea Stocco
2024 J jnl
Benchmarking Generative AI Models for Deep Learning Test Input Generation.
CoRR
Maryam, Matteo Biagiola, Andrea Stocco, Vincenzo Riccio
2024 J jnl
Deep Learning System Boundary Testing through Latent Space Style Mixing.
CoRR
Amr Abdellatif, Xingcheng Chen, Vincenzo Riccio, Andrea Stocco
2024 J jnl
Focused Test Generation for Autonomous Driving Systems.
ACM Trans. Softw. Eng. Methodol.
Tahereh Zohdinasab, Vincenzo Riccio, Paolo Tonella
2024 — conf
RAMSES: An Artifact Exemplar for Engineering Self-Adaptive Microservice Applications.
SEAMS@ICSE
Vincenzo Riccio, Giancarlo Sorrentino, Ettore Zamponi, Matteo Camilli, Raffaela Mirandola, Patrizia Scandurra
2024 J jnl
Two is better than one: digital siblings to improve autonomous driving testing.
Empir. Softw. Eng.
Matteo Biagiola, Andrea Stocco, Vincenzo Riccio, Paolo Tonella
2023 A conf
An Empirical Study on Low- and High-Level Explanations of Deep Learning Misbehaviours.
ESEM
Tahereh Zohdinasab, Vincenzo Riccio, Paolo Tonella
2023 A conf
DeepAtash: Focused Test Generation for Deep Learning Systems.
ISSTA
Tahereh Zohdinasab, Vincenzo Riccio, Paolo Tonella
2023 C conf
DeepHyperion: Exploring the Feature Space of Deep Learning-based Systems through Illumination Search.
Software Engineering
Tahereh Zohdinasab, Vincenzo Riccio, Alessio Gambi, Paolo Tonella
2023 J jnl
Efficient and Effective Feature Space Exploration for Testing Deep Learning Systems.
ACM Trans. Softw. Eng. Methodol.
Tahereh Zohdinasab, Vincenzo Riccio, Alessio Gambi, Paolo Tonella
2023 — conf
Engineering Self-adaptive Microservice Applications: An Experience Report.
ICSOC (1)
Vincenzo Riccio, Giancarlo Sorrentino, Matteo Camilli, Raffaela Mirandola, Patrizia Scandurra
2023 — conf
SBFT Tool Competition 2023 - Cyber-Physical Systems Track.
SBFT
Matteo Biagiola, Stefan Klikovits, Jarkko Peltomäki, Vincenzo Riccio
2023 J jnl
Software testing in the machine learning era.
Empir. Softw. Eng.
Andrea Stocco, Onn Shehory, Gunel Jahangirova, Vincenzo Riccio, Guy Barash, Eitan Farchi, Diptikalyan Saha
2023 J jnl
Summary of the Fourth International Workshop on Deep Learning for Testing and Testing for Deep Learning (DeepTest 2023).
ACM SIGSOFT Softw. Eng. Notes
Matteo Biagiola, Nicolás Cardozo, Donghwan Shin, Foutse Khomh, Andrea Stocco, Vincenzo Riccio
2023 J jnl
Two is Better Than One: Digital Siblings to Improve Autonomous Driving Testing.
CoRR
Matteo Biagiola, Andrea Stocco, Vincenzo Riccio, Paolo Tonella
2023 A* conf
When and Why Test Generators for Deep Learning Produce Invalid Inputs: an Empirical Study.
ICSE
Vincenzo Riccio, Paolo Tonella
2022 J jnl
Does Road Diversity Really Matter in Testing Automated Driving Systems? - A Registered Report.
CoRR
Stefan Klikovits, Vincenzo Riccio, Ezequiel Castellano, Ahmet Cetinkaya, Alessio Gambi, Paolo Arcaini
2022 — conf
SBST Tool Competition 2022.
SBST@ICSE
Alessio Gambi, Gunel Jahangirova, Vincenzo Riccio, Fiorella Zampetti
2022 J jnl
When and Why Test Generators for Deep Learning Produce Invalid Inputs: an Empirical Study.
CoRR
Vincenzo Riccio, Paolo Tonella
2021 J jnl
DeepHyperion: Exploring the Feature Space of Deep Learning-Based Systems through Illumination Search.
CoRR
Tahereh Zohdinasab, Vincenzo Riccio, Alessio Gambi, Paolo Tonella
2021 A conf
DeepHyperion: exploring the feature space of deep learning-based systems through illumination search.
ISSTA
Tahereh Zohdinasab, Vincenzo Riccio, Alessio Gambi, Paolo Tonella
2021 A* conf
DeepMetis: Augmenting a Deep Learning Test Set to Increase its Mutation Score.
ASE
Vincenzo Riccio, Nargiz Humbatova, Gunel Jahangirova, Paolo Tonella
2021 J jnl
DeepMetis: Augmenting a Deep Learning Test Set to Increase its Mutation Score.
CoRR
Vincenzo Riccio, Nargiz Humbatova, Gunel Jahangirova, Paolo Tonella
2021 — conf
SBST Tool Competition 2021.
SBST@ICSE
Sebastiano Panichella, Alessio Gambi, Fiorella Zampetti, Vincenzo Riccio
2020 J jnl
Do Memories Haunt You? An Automated Black Box Testing Approach for Detecting Memory Leaks in Android Apps.
IEEE Access
Domenico Amalfitano, Vincenzo Riccio, Porfirio Tramontana, Anna Rita Fasolino
2020 J jnl
Model-based Exploration of the Frontier of Behaviours for Deep Learning System Testing.
CoRR
Vincenzo Riccio, Paolo Tonella
2020 — conf
Model-based exploration of the frontier of behaviours for deep learning system testing.
ESEC/SIGSOFT FSE
Vincenzo Riccio, Paolo Tonella
2020 A* conf
Taxonomy of real faults in deep learning systems.
ICSE
Nargiz Humbatova, Gunel Jahangirova, Gabriele Bavota, Vincenzo Riccio, Andrea Stocco, Paolo Tonella
2020 J jnl
Testing machine learning based systems: a systematic mapping.
Empir. Softw. Eng.
Vincenzo Riccio, Gunel Jahangirova, Andrea Stocco, Nargiz Humbatova, Michael Weiss, Paolo Tonella
2019 J jnl
Combining Automated GUI Exploration of Android apps with Capture and Replay through Machine Learning.
Inf. Softw. Technol.
Domenico Amalfitano, Vincenzo Riccio, Nicola Amatucci, Vincenzo De Simone, Anna Rita Fasolino
2019 J jnl
Taxonomy of Real Faults in Deep Learning Systems.
CoRR
Nargiz Humbatova, Gunel Jahangirova, Gabriele Bavota, Vincenzo Riccio, Andrea Stocco, Paolo Tonella
2018 — —
Enhancing Automated GUI Exploration Techniques for Android Mobile Applications.
Vincenzo Riccio
2018 — conf
Is this the lifecycle we really want?: an automated black-box testing approach for Android activities.
ISSTA/ECOOP Workshops
Vincenzo Riccio, Domenico Amalfitano, Anna Rita Fasolino
2018 J jnl
Why does the orientation change mess up my Android application? From GUI failures to code faults.
Softw. Test. Verification Reliab.
Domenico Amalfitano, Vincenzo Riccio, Ana C. R. Paiva, Anna Rita Fasolino
2017 — conf
Towards a Thing-In-the-Loop approach for the Verification and Validation of IoT systems.
SafeThings@SenSys
Domenico Amalfitano, Nicola Amatucci, Vincenzo De Simone, Vincenzo Riccio, Anna Rita Fasolino
2015 — conf
Comparing Model Coverage and Code Coverage in Model Driven Testing: An Exploratory Study.
ASE Workshops
Domenico Amalfitano, Vincenzo De Simone, Anna Rita Fasolino, Vincenzo Riccio