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Continuous testing during development is a well-established technique forsoftware-quality assurance. Continuous model checking from revision to revisionis not yet established as a standard practice, because the enormous resourceconsumption makes its application impractical. Model checkers compute a largenumber of verification facts that are necessary for verifying if a givenspecification holds. We have identified a category of such intermediate resultsthat are easy to store and efficient to reuse: abstraction precisions. Theprecision of an abstract domain specifies the level of abstraction that theanalysis works on. Precisions are thus a precious result of the verificationeffort and it is a waste of resources to throw them away after eachverification run. In particular, precisions are small and thus easy to store;they are easy to process and have a large impact on resource consumption. Weexperimentally show the impact of precision reuse on industrial verificationproblems, namely, 59 device drivers with 1119 revisions from the Linux kernel.

Reusing Precisions for Efficient Regression Verification