ERC Consolidator Grant · 2020
Automated Probabilistic Black-Box Verification
One of the longstanding challenges in Computer Science has been the development of methods and tools providing rigorous guarantees about systems’ behavior, performance, and security. There have been many successes in overcoming this challenge, notably the invention and widespread use of model checking. However, existing methods are impaired by the tension between the need of fast developing systems and the slowdown caused by the complexity of providing a model against which running systems can be verified. Automata learning – automated discovery of automata models from system observations such as test logs – is emerging as a highly effective bug-finding technique with applications in…
From the public funding record at EU CORDIS. Describes the funded project, not the reviews below.