| 2026 | ICST | DeepNaqqal: Human-Aligned Automated Validation of Test Inputs for Deep Learning. | Maryam, Matteo Biagiola, Paolo Tonella, Vincenzo Riccio |
| 2025 | ICST | Benchmarking Generative AI Models for Deep Learning Test Input Generation. | Maryam, Matteo Biagiola, Andrea Stocco, Vincenzo Riccio |
| 2024 | SEAMS | RAMSES: An Artifact Exemplar for Engineering Self-Adaptive Microservice Applications. | Vincenzo Riccio, Giancarlo Sorrentino, Ettore Zamponi, Matteo Camilli, Raffaela Mirandola, Patrizia Scandurra |
| 2023 | ESEM | An Empirical Study on Low- and High-Level Explanations of Deep Learning Misbehaviours. | Tahereh Zohdinasab, Vincenzo Riccio, Paolo Tonella |
| 2023 | ICSE | SBFT Tool Competition 2023 - Cyber-Physical Systems Track. | Matteo Biagiola, Stefan Klikovits, Jarkko Peltomki, Vincenzo Riccio |
| 2023 | ICSE | When and Why Test Generators for Deep Learning Produce Invalid Inputs: an Empirical Study. | Vincenzo Riccio, Paolo Tonella |
| 2023 | ICSOC | Engineering Self-adaptive Microservice Applications: An Experience Report. | Vincenzo Riccio, Giancarlo Sorrentino, Matteo Camilli, Raffaela Mirandola, Patrizia Scandurra |
| 2023 | ISSTA | DeepAtash: Focused Test Generation for Deep Learning Systems. | Tahereh Zohdinasab, Vincenzo Riccio, Paolo Tonella |
| 2021 | ISSTA | DeepHyperion: exploring the feature space of deep learning-based systems through illumination search. | Tahereh Zohdinasab, Vincenzo Riccio, Alessio Gambi, Paolo Tonella |
| 2020 | ICSE | Taxonomy of real faults in deep learning systems. | Nargiz Humbatova, Gunel Jahangirova, Gabriele Bavota, Vincenzo Riccio, Andrea Stocco, Paolo Tonella |
| 2018 | ISSTA | Is this the lifecycle we really want?: an automated black-box testing approach for Android activities. | Vincenzo Riccio, Domenico Amalfitano, Anna Rita Fasolino |
| 2017 | SENSYS | 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 |