Andrea Stocco

Registered user since Mon 18 Dec 2017

Name: Andrea Stocco

Bio: My research mainly targets web testing and empirical software engineering. My current interests involve test breakages prediction and automatic repair using computer vision techniques. Over the years, I focused on solving problems related to different aspects of regression testing, such as test suite minimization, or improving the robustness and maintainability of test suites for web applications.

Country: Switzerland

Affiliation: Università della Svizzera italiana (USI)

Personal website: http://tsigalko18.github.io/

Research interests: Software Testing, Web Testing, Empirical Software Engineering

Contributions

ENIAC20Committee Member in Program Committee within the ENIAC20-track
ProWeb20Organization Co-chair in Organizing Committee within the ProWeb 2020-track
Program Co-Chair in Program Committee within the ProWeb 2020-track
Session Chair of ProWeb 2020 #1 (part of ProWeb 2020)
ICST 2020Committee Member in Program Committee within the Research Papers-track
Author of Dependency-Aware Web Test Generation within the Research Papers-track
ProWeb'19Committee Member in Program Committee within the ProWeb'19-track
Author of How Artificial Intelligence Can Improve Web Development and Testing within the ProWeb'19-track
ICSE 2020Author of Taxonomy of Real Faults in Deep Learning Systems within the Technical Papers-track
Author of Near-Duplicate Detection in Web App Model Inference within the Technical Papers-track
Author of Misbehaviour Prediction for Autonomous Driving Systems within the Technical Papers-track
Author of Predicting Safety-Critical Misbehaviours in Autonomous Driving Systems using Autoencoders within the ICSE 2020 Posters-track
Session Chair of I2-Security (part of Paper Presentations)
ESEC/FSE 2018Author of Visual Web Test Repair within the Research Papers-track
Author of Vista: Web Test Repair Using Computer Vision within the Demonstrations-track
* ICSE 2018 *Author of Fine-Grained Test Minimization within the Technical Papers -track