Fakultät für Informatik und Mathematik


Paper Description

BibTeX entry

author="D. Beyer, St. Löwe, E. Novikov, A. Stahlbauer, Ph. Wendler"
title="Reusing Precisions for Efficient Regression Verification"
institution="Fakult{\"a}t f{\"u}r Informatik und Mathematik, Universit{\"a}t Passau,


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

Paper itself