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This paper shows that different “meta-model-checking” analyses can be conducted efficiently on a generic data structure we call a support set. Support sets may be viewed as abstract encodings of the “evidence” a model checker uses to justify the yes/no answers it computes. We indicate how model checkers may be modified to compute supports sets without compromising their time or space complexity. We...
Over the last decade BDD-based symbolic manipulations have been among the most widely used core technologies in the verification domain. To improve their efficiency within the framework of Unbounded Model Checking, we follow some of the most successful trends proposed in this field. We present a very promising approach based on: Mixing forward and backward traversals, dovetailing approximate...
Vacuity detection in model checking looks for properties that hold in a model, and can be strengthened without causing them to fail. Such properties often signal problems in the model, its environment, or the properties themselves. The seminal paper of Beer et al. [1] proposed an efficient algorithm applicable to a restricted set of properties. Subsequently, Kupferman and Vardi [15] extended vacuity...
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