arXiv · 1610.08020
Bounded Model Checking and Feature Omission Diversity
Abstract
In this paper we introduce a novel way to speed up the discovery of counterexamples in bounded model checking, based on parallel runs over versions of a system in which features have been randomly disabled. As shown in previous work, adding constraints to a bounded model checking problem can reduce the size of the verification problem and dramatically decrease the time required to find counterexample. Adapting a technique developed in software testing to this problem provides a simple way to produce useful partial verification problems, with a resulting decrease in average time until a counterexample is produced. If no counterexample is found, partial verification results can also be useful in practice.
Explore related subjects
Keep this discovery
Mohammad Amin Alipour, Alex Groce. 2016-09-20. Bounded Model Checking and Feature Omission Diversity. https://arxiv.org/abs/1610.08020
Cite the original work for its findings. Save a collection to share your selection of sources.