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Lecture
Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
This lecture by the instructor from the University of Maryland discusses software correctness at scale through testing and verification. It covers topics such as property-based fuzzing, testing noninterference, and the use of QuickChick for property-based testing in Coq. The lecture delves into the challenges of dynamic information flow control, formal guarantees, and the practical aspects of property-based testing for Python. It also explores the concepts of semantic mutators, formal specifications, and the importance of formal verification in ensuring software correctness.