Web testware evolution. - Filippo Ricca; Maurizio Leotta; Andrea Stocco 001; Diego Clerissi; Paolo Tonella (WSE, 2013)

Reducing Web Test Cases Aging by Means of Robust XPath Locators. - Maurizio Leotta; Andrea Stocco 001; Filippo Ricca; Paolo Tonella (ISSRE Workshops, 2014)

PESTO: A Tool for Migrating DOM-Based to Visual Web Tests. - Andrea Stocco 001; Maurizio Leotta; Filippo Ricca; Paolo Tonella (SCAM, 2014)

Meta-heuristic Generation of Robust XPath Locators for Web Testing. - Maurizio Leotta; Andrea Stocco 001; Filippo Ricca; Paolo Tonella (SBST@ICSE, 2015)

Why Creating Web Page Objects Manually If It Can Be Done Automatically? - Andrea Stocco 001; Maurizio Leotta; Filippo Ricca; Paolo Tonella (AST@ICSE, 2015)

Using Multi-Locators to Increase the Robustness of Web Test Cases. - Maurizio Leotta; Andrea Stocco 001; Filippo Ricca; Paolo Tonella (ICST, 2015)

Automated generation of visual web tests from DOM-based web tests. - Maurizio Leotta; Andrea Stocco 001; Filippo Ricca; Paolo Tonella (SAC, 2015)

Clustering-Aided Page Object Generation for Web Testing. - Andrea Stocco 001; Maurizio Leotta; Filippo Ricca; Paolo Tonella (ICWE, 2016)

Automatic Page Object Generation with APOGEN. - Andrea Stocco 001; Maurizio Leotta; Filippo Ricca; Paolo Tonella (ICWE, 2016)

WATERFALL: an incremental approach for repairing record-replay tests of web applications. - Mouna Hammoudi; Gregg Rothermel; Andrea Stocco 001 (SIGSOFT FSE, 2016)

Robula+: an algorithm for generating robust XPath locators for web testing. - Maurizio Leotta; Andrea Stocco 001; Filippo Ricca; Paolo Tonella (J. Softw. Evol. Process., 2016)

APOGEN: automatic page object generator for web testing. - Andrea Stocco 001; Maurizio Leotta; Filippo Ricca; Paolo Tonella (Softw. Qual. J., 2017)

Fine-grained test minimization. - Arash Vahabzadeh; Andrea Stocco 001; Ali Mesbah 001 (ICSE, 2018)

Visual web test repair. - Andrea Stocco 001; Rahulkrishna Yandrapally; Ali Mesbah 001 (ESEC/SIGSOFT FSE, 2018)

Vista: web test repair using computer vision. - Andrea Stocco 001; Rahulkrishna Yandrapally; Ali Mesbah 001 (ESEC/SIGSOFT FSE, 2018)

Pesto: Automated migration of DOM-based Web tests towards the visual approach. - Maurizio Leotta; Andrea Stocco 001; Filippo Ricca; Paolo Tonella (Softw. Test. Verification Reliab., 2018)

BugsJS: a Benchmark of JavaScript Bugs. - Péter Gyimesi; Béla Vancsics; Andrea Stocco 001; Davood Mazinanian; Árpád Beszédes; Rudolf Ferenc; Ali Mesbah 001 (ICST, 2019)

Poster: Supporting JavaScript Experimentation with BugsJS. - Béla Vancsics; Péter Gyimesi; Andrea Stocco 001; Davood Mazinanian; Árpád Beszédes; Rudolf Ferenc; Ali Mesbah 001 (ICST, 2019)

How artificial intelligence can improve web development and testing. - Andrea Stocco 001 (Programming, 2019)

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)

Chapter Three - Three Open Problems in the Context of E2E Web Testing and a Vision: NEONATE. - Filippo Ricca; Maurizio Leotta; Andrea Stocco 001 (Adv. Comput., 2019)

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

Misbehaviour prediction for autonomous driving systems. - Andrea Stocco 001; Michael Weiss 004; Marco Calzana; Paolo Tonella (ICSE, 2020)

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

Near-duplicate detection in web app model inference. - Rahulkrishna Yandrapally; Andrea Stocco 001; Ali Mesbah 001 (ICSE, 2020)

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

Towards Anomaly Detectors that Learn Continuously. - Andrea Stocco 001; Paolo Tonella (ISSRE Workshops, 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)

Quality Metrics and Oracles for Autonomous Vehicles Testing. - Gunel Jahangirova; Andrea Stocco 001; Paolo Tonella (ICST, 2021)

AI-based Test Automation: A Grey Literature Analysis. - Filippo Ricca; Alessandro Marchetto 001; Andrea Stocco 001 (ICST Workshops, 2021)

Web Test Automation: Insights from the Grey Literature. - Filippo Ricca; Andrea Stocco 001 (SOFSEM, 2021)

Mind the Gap! A Study on the Transferability of Virtual vs Physical-world Testing of Autonomous Driving Systems. - Andrea Stocco 001; Brian Pulfer; Paolo Tonella (CoRR, 2021)

BUGSJS: a benchmark and taxonomy of JavaScript bugs. - Péter Gyimesi; Béla Vancsics; Andrea Stocco 001; Davood Mazinanian; Árpád Beszédes; Rudolf Ferenc; Ali Mesbah 001 (Softw. Test. Verification Reliab., 2021)

ThirdEye: Attention Maps for Safe Autonomous Driving Systems. - Andrea Stocco 001; Paulo J. Nunes; Marcelo d'Amorim; Paolo Tonella (ASE, 2022)

Confidence-driven weighted retraining for predicting safety-critical failures in autonomous driving systems. - Andrea Stocco 001; Paolo Tonella (J. Softw. Evol. Process., 2022)

A Survey on the Use of Computer Vision to Improve Software Engineering Tasks. - Mohammad Bajammal; Andrea Stocco 001; Davood Mazinanian; Ali Mesbah 001 (IEEE Trans. Software Eng., 2022)

A Retrospective Analysis of Grey Literature for AI-Supported Test Automation. - Filippo Ricca; Alessandro Marchetto 001; Andrea Stocco 001 (QUATIC, 2023)

Neural Embeddings for Web Testing. - Andrea Stocco 001; Alexandra Willi; Luigi Libero Lucio Starace; Matteo Biagiola; Paolo Tonella (CoRR, 2023)

Mind the Gap! A Study on the Transferability of Virtual Versus Physical-World Testing of Autonomous Driving Systems. - Andrea Stocco 001; Brian Pulfer; Paolo Tonella (IEEE Trans. Software Eng., 2023)

Model vs system level testing of autonomous driving systems: a replication and extension study. - Andrea Stocco 001; Brian Pulfer; Paolo Tonella (Empir. Softw. Eng., 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)

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)

Predicting Safety Misbehaviours in Autonomous Driving Systems Using Uncertainty Quantification. - Ruben Grewal; Paolo Tonella; Andrea Stocco 001 (ICST, 2024)

Assessing Quality Metrics for Neural Reality Gap Input Mitigation in Autonomous Driving Testing. - Stefano Carlo Lambertenghi; Andrea Stocco 001 (ICST, 2024)

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

Large Language Models for Secure Code Assessment: A Multi-Language Empirical Study. - Kohei Dozono; Tiago Espinha Gasiba; 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)

OpenCat: Improving Interoperability of ADS Testing. - Qurban Ali; Andrea Stocco 001; Leonardo Mariani; Oliviero Riganelli (DeepTest, 2025)

Efficient Domain Augmentation for Autonomous Driving Testing Using Diffusion Models. - Luciano Baresi; Davide Yi Xian Hu; Andrea Stocco 001; Paolo Tonella (ICSE, 2025)

Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems. - Stefano Carlo Lambertenghi; Hannes Leonhard; Andrea Stocco 001 (ICST, 2025)

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

A multi-year grey literature review on AI-assisted test automation. - Filippo Ricca; Alessandro Marchetto 001; Andrea Stocco 001 (Inf. Softw. Technol., 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)

Latent Space Class Dispersion: Effective Test Data Quality Assessment for DNNs. - Vivek Vekariya; Mojdeh Golagha; Andrea Stocco 001; Alexander Pretschner (CoRR, 2025)

Automated Factual Benchmarking for In-Car Conversational Systems using Large Language Models. - Rafael Giebisch; Ken E. Friedl; Lev Sorokin; Andrea Stocco 001 (CoRR, 2025)

Web Element Relocalization in Evolving Web Applications: A Comparative Analysis and Extension Study. - Anton Kluge; Andrea Stocco 001 (CoRR, 2025)

Foundation Models in Autonomous Driving: A Survey on Scenario Generation and Scenario Analysis. - Yuan Gao; Mattia Piccinini; Yuchen Zhang; Dingrui Wang; Korbinian Möller; Roberto Brusnicki; Baha Zarrouki; Alessio Gambi; Jan Frederik Totz; Kai Storms; Steven Peters; Andrea Stocco 001; et al. (CoRR, 2025)

System Safety Monitoring of Learned Components Using Temporal Metric Forecasting. - Sepehr Sharifi; Andrea Stocco 001; Lionel C. Briand (ACM Trans. Softw. Eng. Methodol., 2025)