activity
20192024
most citedMind the Gap! A Study on the Transferability of Virtual vs Physical-world Testing of Autonomous Driving Systems

97 citations · 156 across the 8 of their papers we have counts for

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Showing cs.SEShow all

7 papers · 1 filter

cs.SE2024★ 1 cited

Efficient Domain Augmentation for Autonomous Driving Testing Using Diffusion Models

Luciano Baresi, Davide Yi Xian Hu, Andrea Stocco +1

Simulation-based testing is widely used to assess the reliability of Autonomous Driving Systems (ADS), but its effectiveness is limited by the operational design domain (ODD) condi…

cs.SE2024★ 2 cited

A Multi-Year Grey Literature Review on AI-assisted Test Automation

Filippo Ricca, Alessandro Marchetto, Andrea Stocco

Context: Test Automation (TA) techniques are crucial for quality assurance in software engineering but face limitations such as high test suite maintenance costs and the need for e…

cs.SE2023

Neural Embeddings for Web Testing

Kasun Kanaththage, Luigi Libero Lucio Starace, Matteo Biagiola +2

Web test automation techniques often rely on crawlers to infer models of web applications for automated test generation. However, current crawlers rely on state equivalence algorit…

cs.SE2023★ 23 cited

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

Matteo Biagiola, Andrea Stocco, Vincenzo Riccio +1

Simulation-based testing represents an important step to ensure the reliability of autonomous driving software. In practice, when companies rely on third-party general-purpose simu…

cs.SE2021★ 97 cited

Mind the Gap! A Study on the Transferability of Virtual vs Physical-world Testing of Autonomous Driving Systems

Andrea Stocco, Brian Pulfer, Paolo Tonella

Safe deployment of self-driving cars (SDC) necessitates thorough simulated and in-field testing. Most testing techniques consider virtualized SDCs within a simulation environment,…

cs.SE2019

Taxonomy of Real Faults in Deep Learning Systems

Nargiz Humbatova, Gunel Jahangirova, Gabriele Bavota +3

The growing application of deep neural networks in safety-critical domains makes the analysis of faults that occur in such systems of enormous importance. In this paper we introduc…

cs.SE2019★ 33 cited

Web Test Dependency Detection

Matteo Biagiola, Andrea Stocco, Ali Mesbah +2

E2E web test suites are prone to test dependencies due to the heterogeneous multi-tiered nature of modern web apps, which makes it difficult for developers to create isolated progr…