Development and integration of a novel IP66 Force Feedback Joystick for offshore operations. - David Scaradozzi; Laura Sorbi; Silvia Zingaretti; Matteo Biagiola; Edin Omerdic (MED, 2014)

Search Based Path and Input Data Generation for Web Application Testing. - Matteo Biagiola; Filippo Ricca; Paolo Tonella (SSBSE, 2017)

Time Aware Task Delegation in Agent Interactions for Video-Surveillance. - Paolo Sernani; Matteo Biagiola; Nicola Falcionelli; Dagmawi Neway Mekuria; Stefano Cremonini; Aldo Franco Dragoni (RTcMAS@IJCAI, 2018)

Web test dependency detection. - Matteo Biagiola; Andrea Stocco 001; Ali Mesbah 001; Filippo Ricca; Paolo Tonella (ESEC/SIGSOFT FSE, 2019)

Diversity-based web test generation. - Matteo Biagiola; Andrea Stocco 001; Filippo Ricca; Paolo Tonella (ESEC/SIGSOFT FSE, 2019)

E2E Web Test Dependency Detection using NLP. - Matteo Biagiola; Andrea Stocco 001; Ali Mesbah 001; Filippo Ricca; Paolo Tonella (CoRR, 2019)

Test Generation and Dependency Analysis for Web Applications. - Matteo Biagiola (2019)

Dependency-Aware Web Test Generation. - Matteo Biagiola; Andrea Stocco 001; Filippo Ricca; Paolo Tonella (ICST, 2020)

A Family of Experiments to Assess the Impact of Page Object Pattern in Web Test Suite Development. - Maurizio Leotta; Matteo Biagiola; Filippo Ricca; Mariano Ceccato; Paolo Tonella (ICST, 2020)

STILE: a Tool for Parallel Execution of E2E Web Test Scripts. - Dario Olianas; Maurizio Leotta; Filippo Ricca; Matteo Biagiola; Paolo Tonella (ICST, 2021)

Testing the Plasticity of Reinforcement Learning-based Systems. - Matteo Biagiola; Paolo Tonella (ACM Trans. Softw. Eng. Methodol., 2022)

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

Neural Embeddings for Web Testing. - Andrea Stocco 001; Alexandra Willi; Luigi Libero Lucio Starace; Matteo Biagiola; Paolo Tonella (CoRR, 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)

Adversarial Testing with Reinforcement Learning: A Case Study on Autonomous Driving. - Andréa Doreste; Matteo Biagiola; Paolo Tonella (ICST, 2024)

SBFT Tool Competition 2024 - Cyber-Physical Systems Track. - Matteo Biagiola; Stefan Klikovits (SBFT@ICSE, 2024)

muPRL: A Mutation Testing Pipeline for Deep Reinforcement Learning based on Real Faults. - Deepak-George Thomas; Matteo Biagiola; Nargiz Humbatova; Mohammad Wardat; Gunel Jahangirova; Hridesh Rajan; Paolo Tonella (CoRR, 2024)

Adaptive Test Generation with Qgrams. - Matteo Biagiola; Robert Feldt; Paolo Tonella (CoRR, 2024)

Testing of Deep Reinforcement Learning Agents with Surrogate Models. - Matteo Biagiola; Paolo Tonella (ACM Trans. Softw. Eng. Methodol., 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)

Boundary State Generation for Testing and Improvement of Autonomous Driving Systems. - Matteo Biagiola; Paolo Tonella (IEEE Trans. Software Eng., 2024)

$ mu text{PRL}$: A Mutation Testing Pipeline for Deep Reinforcement Learning Based on Real Faults. - Deepak-George Thomas; Matteo Biagiola; Nargiz Humbatova; Mohammad Wardat; Gunel Jahangirova; Hridesh Rajan; Paolo Tonella (ICSE, 2025)

Improving the Readability of Automatically Generated Tests Using Large Language Models. - Matteo Biagiola; Gianluca Ghislotti; Paolo Tonella (ICST, 2025)

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

STILE: A tool for optimizing E2E web test scripts parallelization. - Dario Olianas; Maurizio Leotta; Filippo Ricca; Matteo Biagiola; Paolo Tonella (J. Syst. Softw., 2025)

Adaptive Random Testing with Q-grams: The Illusion Comes True. - Matteo Biagiola; Robert Feldt; Paolo Tonella (Proc. ACM Softw. Eng., 2025)

Reinforcement learning for online testing of autonomous driving systems: a replication and extension study. - Luca Giamattei; Matteo Biagiola; Roberto Pietrantuono; Stefano Russo 001; Paolo Tonella (Empir. Softw. Eng., 2025)

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

Simulator Ensembles for Trustworthy Autonomous Driving Testing. - Lev Sorokin; Matteo Biagiola; Andrea Stocco 001 (CoRR, 2025)

Parallelization in System-Level Testing: Novel Approaches to Manage Test Suite Dependencies. - Pasquale Polverino; Fabio Di Lauro; Matteo Biagiola; Paolo Tonella; Antonio Carzaniga (IEEE Trans. Software Eng., 2025)