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
ICST
- Committee Member in Program Committee within the Research Papers-track
- Session Chair of Doctoral Symposium (Private) (part of Doctoral Symposium)
- Session Chair of Test Case Selection, Prioritisation, Reduction (part of Research Papers)
- Benchmarking Generative AI Models for Deep Learning Test Input Generation
- Benchmarking Image Perturbations for Testing Automated Driving Assistance Systems
- Session Chair of Doctoral Symposium (Private) (part of Doctoral Symposium)
- Committee Member in Organizing Committee within the Doctoral Symposium-track
- Session Chair of Doctoral Symposium (Private) (part of Doctoral Symposium)
- Doctoral Symposium Co-Chair in Organizing Committee
Using general profile