A verification technique for infinite-state systems learns transitive relations via recurrence analysis and projections to achieve finite diameter, enabling safety proofs through bounded-step reachability checks.
In: CA V ’16
2 Pith papers cite this work, alongside 30 external citations. Polarity classification is still indexing.
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Typed extended decision diagrams enable scalable deductive verification of probabilistic programs by compactly representing weakest pre-expectations.
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Infinite State Model Checking by Learning Transitive Relations
A verification technique for infinite-state systems learns transitive relations via recurrence analysis and projections to achieve finite diameter, enabling safety proofs through bounded-step reachability checks.