conf.researchr.org / Andrea Stocco
Registered user since Mon 18 Dec 2017
Name:Andrea Stocco
Bio:
My research activities focus on the interface between software engineering and deep learning with the goal of improving the robustness, reliability, and dependability of data-intensive software systems. Current interests involve monitoring techniques and automated functional oracles for deep learning-based systems, with a particular focus on autonomous vehicles, and the robustness and maintainability of test suites of modern web applications.
Country:Germany
Affiliation:Technical University of Munich, fortiss
Personal website: http://tsigalko18.github.io/
X (Twitter): https://x.com/tsigalko18
GitHub: https://github.com/tsigalko18
Research interests:Software Testing, AI Testing, Web Testing, Empirical Software Engineering
Contributions
2025
2024
SCAM
ESEC/FSE
ICST
- Author of Assessing Quality Metrics for Neural Reality Gap Input Mitigation in Autonomous Driving Testing within the Research Papers-track
- PC Member in Program Committee within the Research Papers-track
- Author of Predicting Safety Misbehaviours in Autonomous Driving Systems using Uncertainty Quantification within the Research Papers-track
- Session Chair of Test Flakiness (part of Research Papers)
DeepTest
ICSE
2023
ESEC/FSE
2022
ASE
- Review Process Co-Chair in Research Papers Chair within the Research Papers-track
- Session Chair of Technical Session 1 - AI for SE I (part of Research Papers)
- Author of ThirdEye: Attention Maps for Safe Autonomous Driving Systems within the Research Papers-track
- Session Chair of Technical Session 21 - SE for AI II (part of Research Papers)
- Session Chair of Technical Session 13 - Application Domains (part of Research Papers)
- Author of Testing and Evaluation of Autonomous Driving Systems: From Simulated to Real-world Test Environments within the [Workshop] AUST '22-track
- Review Process Co-Chair in Organizing Committee
- Committee Member in Judges within the Student Research Competition-track
2021
DeepTest
MOBILESoft
ICST
2020
ICST
ICSE
- Author 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)