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
2024
ICST
- Assessing Quality Metrics for Neural Reality Gap Input Mitigation in Autonomous Driving Testing
- PC Member in Program Committee within the Research Papers-track
- Predicting Safety Misbehaviours in Autonomous Driving Systems using Uncertainty Quantification
- Session Chair of Test Flakiness (part of Research Papers)
ICST 2024-profile
View general profile
View general profile