Regular biography
Prof. Dr. Andrea Stocco is affiliated with the Technical University of Munich, where she is part of the Computer Science / Electrical Engineering department. Her research interests and existing biography are not explicitly provided in the available information. Further details about her academic profile, achievements, and contributions can be explored through her official profile page.
Scholar-generated biography
Andrea Stocco is a researcher at the Technical University of Munich, focusing on Software Engineering, Software Testing, Test Automation, Deep Learning Testing, and Web Testing. Their work explores the challenges and methodologies in testing complex systems, including deep learning models and autonomous driving systems. Stocco has contributed to the development of benchmarks, tools, and frameworks for improving the robustness and effectiveness of testing practices. Research includes the analysis of real faults in deep learning systems, the transferability of virtual vs. physical-world testing, and the automation of web test generation and repair. Their publications highlight the importance of quality metrics, oracles, and multi-locators in enhancing test reliability and reducing test case aging.