Vincenzo Riccio

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 31

Top Topics

Space Exploration

Test Generation

Autonomous Driving

Top Venues

Empir. Softw. Eng.

ACM Trans. Softw. Eng. Methodol.

Publications

Tahereh Zohdinasab, Vincenzo Riccio, Paolo Tonella
Focused Test Generation for Autonomous Driving Systems. ACM Trans. Softw. Eng. Methodol. 33 (6) (2024)
Matteo Biagiola, Andrea Stocco, Vincenzo Riccio, Paolo Tonella
Two is better than one: digital siblings to improve autonomous driving testing. Empir. Softw. Eng. 29 (4) (2024)
Vincenzo Riccio, Giancarlo Sorrentino, Ettore Zamponi, Matteo Camilli, Raffaela Mirandola, Patrizia Scandurra
RAMSES: An Artifact Exemplar for Engineering Self-Adaptive Microservice Applications. SEAMS@ICSE (2024)
Tahereh Zohdinasab, Vincenzo Riccio, Paolo Tonella
An Empirical Study on Low- and High-Level Explanations of Deep Learning Misbehaviours. ESEM (2023)
Matteo Biagiola, Andrea Stocco, Vincenzo Riccio, Paolo Tonella
Two is Better Than One: Digital Siblings to Improve Autonomous Driving Testing. CoRR (2023)
Matteo Biagiola, Stefan Klikovits, Jarkko Peltomäki, Vincenzo Riccio
SBFT Tool Competition 2023 - Cyber-Physical Systems Track. SBFT (2023)
Tahereh Zohdinasab, Vincenzo Riccio, Paolo Tonella
DeepAtash: Focused Test Generation for Deep Learning Systems. ISSTA (2023)
Tahereh Zohdinasab, Vincenzo Riccio, Alessio Gambi, Paolo Tonella
Efficient and Effective Feature Space Exploration for Testing Deep Learning Systems. ACM Trans. Softw. Eng. Methodol. 32 (2) (2023)
Tahereh Zohdinasab, Vincenzo Riccio, Alessio Gambi, Paolo Tonella
DeepHyperion: Exploring the Feature Space of Deep Learning-based Systems through Illumination Search. Software Engineering (2023)
Andrea Stocco, Onn Shehory, Gunel Jahangirova, Vincenzo Riccio, Guy Barash, Eitan Farchi, Diptikalyan Saha
Software testing in the machine learning era. Empir. Softw. Eng. 28 (3) (2023)
Vincenzo Riccio, Giancarlo Sorrentino, Matteo Camilli, Raffaela Mirandola, Patrizia Scandurra
Engineering Self-adaptive Microservice Applications: An Experience Report. ICSOC (1) (2023)
Vincenzo Riccio, Paolo Tonella
When and Why Test Generators for Deep Learning Produce Invalid Inputs: an Empirical Study. ICSE (2023)
Matteo Biagiola, Nicolás Cardozo, Donghwan Shin, Foutse Khomh, Andrea Stocco, Vincenzo Riccio
Summary of the Fourth International Workshop on Deep Learning for Testing and Testing for Deep Learning (DeepTest 2023). ACM SIGSOFT Softw. Eng. Notes 48 (4) (2023)
Stefan Klikovits, Vincenzo Riccio, Ezequiel Castellano, Ahmet Cetinkaya, Alessio Gambi, Paolo Arcaini
Does Road Diversity Really Matter in Testing Automated Driving Systems? - A Registered Report. CoRR (2022)
Alessio Gambi, Gunel Jahangirova, Vincenzo Riccio, Fiorella Zampetti
SBST Tool Competition 2022. SBST@ICSE (2022)
Vincenzo Riccio, Paolo Tonella
When and Why Test Generators for Deep Learning Produce Invalid Inputs: an Empirical Study. CoRR (2022)
Tahereh Zohdinasab, Vincenzo Riccio, Alessio Gambi, Paolo Tonella
DeepHyperion: Exploring the Feature Space of Deep Learning-Based Systems through Illumination Search. CoRR (2021)
Vincenzo Riccio, Nargiz Humbatova, Gunel Jahangirova, Paolo Tonella
DeepMetis: Augmenting a Deep Learning Test Set to Increase its Mutation Score. ASE (2021)
Tahereh Zohdinasab, Vincenzo Riccio, Alessio Gambi, Paolo Tonella
DeepHyperion: exploring the feature space of deep learning-based systems through illumination search. ISSTA (2021)
Vincenzo Riccio, Nargiz Humbatova, Gunel Jahangirova, Paolo Tonella
DeepMetis: Augmenting a Deep Learning Test Set to Increase its Mutation Score. CoRR (2021)
Sebastiano Panichella, Alessio Gambi, Fiorella Zampetti, Vincenzo Riccio
SBST Tool Competition 2021. SBST@ICSE (2021)
Vincenzo Riccio, Paolo Tonella
Model-based Exploration of the Frontier of Behaviours for Deep Learning System Testing. CoRR (2020)
Nargiz Humbatova, Gunel Jahangirova, Gabriele Bavota, Vincenzo Riccio, Andrea Stocco, Paolo Tonella
Taxonomy of real faults in deep learning systems. ICSE (2020)
Domenico Amalfitano, Vincenzo Riccio, Porfirio Tramontana, Anna Rita Fasolino
Do Memories Haunt You? An Automated Black Box Testing Approach for Detecting Memory Leaks in Android Apps. IEEE Access 8 (2020)
Vincenzo Riccio, Gunel Jahangirova, Andrea Stocco, Nargiz Humbatova, Michael Weiss, Paolo Tonella
Testing machine learning based systems: a systematic mapping. Empir. Softw. Eng. 25 (6) (2020)
Vincenzo Riccio, Paolo Tonella
Model-based exploration of the frontier of behaviours for deep learning system testing. ESEC/SIGSOFT FSE (2020)
Domenico Amalfitano, Vincenzo Riccio, Nicola Amatucci, Vincenzo De Simone, Anna Rita Fasolino
Combining Automated GUI Exploration of Android apps with Capture and Replay through Machine Learning. Inf. Softw. Technol. 105 (2019)
Nargiz Humbatova, Gunel Jahangirova, Gabriele Bavota, Vincenzo Riccio, Andrea Stocco, Paolo Tonella
Taxonomy of Real Faults in Deep Learning Systems. CoRR (2019)
Domenico Amalfitano, Vincenzo Riccio, Ana C. R. Paiva, Anna Rita Fasolino
Why does the orientation change mess up my Android application? From GUI failures to code faults. Softw. Test. Verification Reliab. 28 (1) (2018)
Vincenzo Riccio, Domenico Amalfitano, Anna Rita Fasolino
Is this the lifecycle we really want?: an automated black-box testing approach for Android activities. ISSTA/ECOOP Workshops (2018)
Domenico Amalfitano, Nicola Amatucci, Vincenzo De Simone, Vincenzo Riccio, Anna Rita Fasolino
Towards a Thing-In-the-Loop approach for the Verification and Validation of IoT systems. SafeThings@SenSys (2017)
Domenico Amalfitano, Vincenzo De Simone, Anna Rita Fasolino, Vincenzo Riccio
Comparing Model Coverage and Code Coverage in Model Driven Testing: An Exploratory Study. ASE Workshops (2015)