Comparing Model Coverage and Code Coverage in Model Driven Testing: An Exploratory Study. - Domenico Amalfitano; Vincenzo De Simone; Anna Rita Fasolino; Vincenzo Riccio (ASE Workshops, 2015)

Towards a Thing-In-the-Loop approach for the Verification and Validation of IoT systems. - Domenico Amalfitano; Nicola Amatucci; Vincenzo De Simone; Vincenzo Riccio; Anna Rita Fasolino (SafeThings@SenSys, 2017)

Is this the lifecycle we really want?: an automated black-box testing approach for Android activities. - Vincenzo Riccio; Domenico Amalfitano; Anna Rita Fasolino (ISSTA/ECOOP Workshops, 2018)

Why does the orientation change mess up my Android application? From GUI failures to code faults. - Domenico Amalfitano; Vincenzo Riccio; Ana C. R. Paiva; Anna Rita Fasolino (Softw. Test. Verification Reliab., 2018)

Enhancing Automated GUI Exploration Techniques for Android Mobile Applications. - Vincenzo Riccio (2018)

Combining Automated GUI Exploration of Android apps with Capture and Replay through Machine Learning. - Domenico Amalfitano; Vincenzo Riccio; Nicola Amatucci; Vincenzo De Simone; Anna Rita Fasolino (Inf. Softw. Technol., 2019)

Taxonomy of real faults in deep learning systems. - Nargiz Humbatova; Gunel Jahangirova; Gabriele Bavota; Vincenzo Riccio; Andrea Stocco 001; Paolo Tonella (ICSE, 2020)

Model-based exploration of the frontier of behaviours for deep learning system testing. - Vincenzo Riccio; Paolo Tonella (ESEC/SIGSOFT FSE, 2020)

Do Memories Haunt You? An Automated Black Box Testing Approach for Detecting Memory Leaks in Android Apps. - Domenico Amalfitano; Vincenzo Riccio; Porfirio Tramontana; Anna Rita Fasolino (IEEE Access, 2020)

Testing machine learning based systems: a systematic mapping. - Vincenzo Riccio; Gunel Jahangirova; Andrea Stocco 001; Nargiz Humbatova; Michael Weiss 004; Paolo Tonella (Empir. Softw. Eng., 2020)

Dataset of Real Faults in Deep Learning Systems. - Nargiz Humbatova; Gunel Jahangirova; Gabriele Bavota; Vincenzo Riccio; Andrea Stocco 001; Paolo Tonella (Zenodo, 2020)

DeepMetis: Augmenting a Deep Learning Test Set to Increase its Mutation Score. - Vincenzo Riccio; Nargiz Humbatova; Gunel Jahangirova; Paolo Tonella (ASE, 2021)

SBST Tool Competition 2021. - Sebastiano Panichella; Alessio Gambi; Fiorella Zampetti; Vincenzo Riccio (SBST@ICSE, 2021)

Experimental data for "DeepMetis: Augmenting a Deep Learning Test Set to Increase its Mutation Score" paper. - Vincenzo Riccio; Nargiz Humbatova; Gunel Jahangirova; Paolo Tonella (Zenodo, 2021)

Replication Package: DeepHyperion: Exploring the Feature Space of Deep Learning-Based Systems through Illumination Search. - Tahereh Zohdinasab; Vincenzo Riccio; Alessio Gambi; Paolo Tonella (Zenodo, 2021)

Replication Package: DeepHyperion: Exploring the Feature Space of Deep Learning-Based Systems through Illumination Search. - Tahereh Zohdinasab; Vincenzo Riccio; Alessio Gambi; Paolo Tonella (Zenodo, 2021)

SBST Tool Competition 2022. - Alessio Gambi; Gunel Jahangirova; Vincenzo Riccio; Fiorella Zampetti (SBST@ICSE, 2022)

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 (CoRR, 2022)

An Empirical Study on Low- and High-Level Explanations of Deep Learning Misbehaviours. - Tahereh Zohdinasab; Vincenzo Riccio; Paolo Tonella (ESEM, 2023)

SBFT Tool Competition 2023 - Cyber-Physical Systems Track. - Matteo Biagiola; Stefan Klikovits; Jarkko Peltomäki; Vincenzo Riccio (SBFT, 2023)

When and Why Test Generators for Deep Learning Produce Invalid Inputs: an Empirical Study. - Vincenzo Riccio; Paolo Tonella (ICSE, 2023)

Engineering Self-adaptive Microservice Applications: An Experience Report. - Vincenzo Riccio; Giancarlo Sorrentino; Matteo Camilli; Raffaela Mirandola; Patrizia Scandurra (ICSOC (1), 2023)

DeepAtash: Focused Test Generation for Deep Learning Systems. - Tahereh Zohdinasab; Vincenzo Riccio; Paolo Tonella (ISSTA, 2023)

DeepHyperion: Exploring the Feature Space of Deep Learning-based Systems through Illumination Search. - Tahereh Zohdinasab; Vincenzo Riccio; Alessio Gambi; Paolo Tonella (Software Engineering, 2023)

Efficient and Effective Feature Space Exploration for Testing Deep Learning Systems. - Tahereh Zohdinasab; Vincenzo Riccio; Alessio Gambi; Paolo Tonella (ACM Trans. Softw. Eng. Methodol., 2023)

Software testing in the machine learning era. - Andrea Stocco 001; Onn Shehory; Gunel Jahangirova; Vincenzo Riccio; Guy Barash; Eitan Farchi; Diptikalyan Saha (Empir. Softw. Eng., 2023)

Replication Package: An Empirical Study on Low- and High-Level Explanations of Deep Learning Misbehaviours. - Tahereh Zohdinasab; Vincenzo Riccio; Paolo Tonella (Zenodo, 2023)

Replication Package: An Empirical Study on Low- and High-Level Explanations of Deep Learning Misbehaviours. - Tahereh Zohdinasab; Vincenzo Riccio; Paolo Tonella (Zenodo, 2023)

Replication Package: DeepAtash: Focused Test Generation for Deep Learning Systems. - Tahereh Zohdinasab; Vincenzo Riccio; Paolo Tonella (Zenodo, 2023)

Replication Package: DeepAtash: Focused Test Generation for Deep Learning Systems. - Tahereh Zohdinasab; Vincenzo Riccio; Paolo Tonella (Zenodo, 2023)

Replication Package: DeepAtash: Focused Test Generation for Deep Learning Systems. - Tahereh Zohdinasab; Vincenzo Riccio; Paolo Tonella (Zenodo, 2023)

Replication Package: DeepAtash: Focused Test Generation for Deep Learning Systems. - Tahereh Zohdinasab; Vincenzo Riccio; Paolo Tonella (Zenodo, 2023)

Replication Package: DeepAtash: Focused Test Generation for Deep Learning Systems. - Tahereh Zohdinasab; Vincenzo Riccio; Paolo Tonella (Zenodo, 2023)

Replication Package: DeepAtash: Focused Test Generation for Deep Learning Systems. - Tahereh Zohdinasab; Vincenzo Riccio; Paolo Tonella (Zenodo, 2023)

Replication Package: DeepAtash: Focused Test Generation for Deep Learning Systems. - Tahereh Zohdinasab; Vincenzo Riccio; Paolo Tonella (Zenodo, 2023)

Replication Package: DeepAtash: Focused Test Generation for Deep Learning Systems. - Tahereh Zohdinasab; Vincenzo Riccio; Paolo Tonella (Zenodo, 2023)

Summary of the Fourth International Workshop on Deep Learning for Testing and Testing for Deep Learning (DeepTest 2023). - Matteo Biagiola; Nicolás Cardozo; Donghwan Shin 001; Foutse Khomh; Andrea Stocco 001; Vincenzo Riccio (ACM SIGSOFT Softw. Eng. Notes, 2023)

Replication Package: DeepAtash-LR: Focused Test Generation for Autonomous Driving Systems. - Tahereh Zohdinasab; Vincenzo Riccio; Paolo Tonella (Zenodo, 2023)

RAMSES: An Artifact Exemplar for Engineering Self-Adaptive Microservice Applications. - Vincenzo Riccio; Giancarlo Sorrentino; Ettore Zamponi; Matteo Camilli; Raffaela Mirandola; Patrizia Scandurra (SEAMS@ICSE, 2024)

Deep Learning System Boundary Testing through Latent Space Style Mixing. - Amr Abdellatif; Xingcheng Chen; Vincenzo Riccio; Andrea Stocco 001 (CoRR, 2024)

Two is better than one: digital siblings to improve autonomous driving testing. - Matteo Biagiola; Andrea Stocco 001; Vincenzo Riccio; Paolo Tonella (Empir. Softw. Eng., 2024)

Focused Test Generation for Autonomous Driving Systems. - Tahereh Zohdinasab; Vincenzo Riccio; Paolo Tonella (ACM Trans. Softw. Eng. Methodol., 2024)

Benchmarking Generative AI Models for Deep Learning Test Input Generation. - Maryam; Matteo Biagiola; Andrea Stocco 001; Vincenzo Riccio (ICST, 2025)

OWSM: Empowering Rego for Stateful Access Control. - Massimiliano Baldo; Fabio Ionut Ion; Marino Miculan; Matteo Paier; Vincenzo Riccio (ITASEC/SERICS, 2025)

XMutant: XAI-based Fuzzing for Deep Learning Systems. - Xingcheng Chen; Matteo Biagiola; Vincenzo Riccio; Marcelo d'Amorim; Andrea Stocco 001 (CoRR, 2025)

An industrial experience report on applying search-based boundary input generation to cyber-physical systems. - Pablo Valle; Vincenzo Riccio; Aitor Arrieta; Paolo Tonella; Maite Arratibel (Empir. Softw. Eng., 2025)