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Virtual colloquium: Finding Software Bugs Using Active Automata Learning

Wednesday 30 September 2020

PrimaVera conducts regular (virtual) colloquiums with interesting talks around predictive maintenance.

Speaker: Prof. Frits Vaandrager

Active automata learning is emerging as an effective technique for obtaining state machine models of software and hardware systems. In this talk, I will present an overview of work in my group in which we used automata learning to find standard violations and security vulnerabilities in implementations of network protocols such as TCP, TLS, and SSH. Also, I will discuss the application of automata learning to support refactoring of legacy embedded control software, and the theoretical challenges that we face to further scale the application of automata learning techniques.

Practical information

Location & time

Online: Microsoft Teams

September 30, 2020

Additional information and registration