Vincenzo Riccio

According to our database, Vincenzo Riccio authored at least 24 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, Foutse Khomh, Andrea Stocco, Vincenzo Riccio

ACM SIGSOFT Softw. Eng. Notes, October, 2023

Software testing in the machine learning era.

Andrea Stocco, Onn Shehory, Gunel Jahangirova, Vincenzo Riccio, Guy Barash, Eitan Farchi, Diptikalyan Saha

Empir. Softw. Eng., June, 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., April, 2023

Two is Better Than One: Digital Siblings to Improve Autonomous Driving Testing.

Matteo Biagiola, Andrea Stocco, Vincenzo Riccio, Paolo Tonella

CoRR, 2023

DeepHyperion: Exploring the Feature Space of Deep Learning-based Systems through Illumination Search.

Tahereh Zohdinasab, Vincenzo Riccio, Alessio Gambi, Paolo Tonella

Proceedings of the Software Engineering 2023, 2023

DeepAtash: Focused Test Generation for Deep Learning Systems.

Tahereh Zohdinasab, Vincenzo Riccio, Paolo Tonella

Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

Engineering Self-adaptive Microservice Applications: An Experience Report.

Vincenzo Riccio, Giancarlo Sorrentino, Matteo Camilli, Raffaela Mirandola, Patrizia Scandurra

Proceedings of the Service-Oriented Computing - 21st International Conference, 2023

When and Why Test Generators for Deep Learning Produce Invalid Inputs: an Empirical Study.

Vincenzo Riccio, Paolo Tonella

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering, 2023

SBFT Tool Competition 2023 - Cyber-Physical Systems Track.

Matteo Biagiola, Stefan Klikovits, Jarkko Peltomäki, Vincenzo Riccio

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.

Tahereh Zohdinasab, Vincenzo Riccio, Paolo Tonella

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.

Stefan Klikovits, Vincenzo Riccio, Ezequiel Castellano, Ahmet Cetinkaya, Alessio Gambi, Paolo Arcaini

CoRR, 2022

SBST Tool Competition 2022.

Alessio Gambi, Gunel Jahangirova, Vincenzo Riccio, Fiorella Zampetti

Proceedings of the 15th IEEE/ACM International Workshop on Search-Based Software Testing, 2022

2021

SBST Tool Competition 2021.

Sebastiano Panichella, Alessio Gambi, Fiorella Zampetti, Vincenzo Riccio

Proceedings of the 14th IEEE/ACM International Workshop on Search-Based Software Testing, 2021

DeepMetis: Augmenting a Deep Learning Test Set to Increase its Mutation Score.

Vincenzo Riccio, Nargiz Humbatova, Gunel Jahangirova, Paolo Tonella

Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 2021

2020

Testing machine learning based systems: a systematic mapping.

Vincenzo Riccio, Gunel Jahangirova, Andrea Stocco, Nargiz Humbatova, Michael Weiss, Paolo Tonella

Empir. Softw. Eng., 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

Model-based exploration of the frontier of behaviours for deep learning system testing.

Vincenzo Riccio, Paolo Tonella

Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020

Taxonomy of real faults in deep learning systems.

Nargiz Humbatova, Gunel Jahangirova, Gabriele Bavota, Vincenzo Riccio, Andrea Stocco, Paolo Tonella

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.

Domenico Amalfitano, Vincenzo Riccio, Nicola Amatucci, Vincenzo De Simone, Anna Rita Fasolino

Inf. Softw. Technol., 2019

2018

Enhancing Automated GUI Exploration Techniques for Android Mobile Applications.

Vincenzo Riccio

PhD thesis, 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

Is this the lifecycle we really want?: an automated black-box testing approach for Android activities.

Vincenzo Riccio, Domenico Amalfitano, Anna Rita Fasolino

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.

Domenico Amalfitano, Nicola Amatucci, Vincenzo De Simone, Vincenzo Riccio, Anna Rita Fasolino

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.

Domenico Amalfitano, Vincenzo De Simone, Anna Rita Fasolino, Vincenzo Riccio

Proceedings of the 30th IEEE/ACM International Conference on Automated Software Engineering Workshops, 2015