Reusing Precisions for Efficient Regression Verification
| Autor: | Beyer, Dirk, Löwe, Stefan, Novikov, Evgeny, Stahlbauer, Andreas, Wendler, Philipp |
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| Rok vydání: | 2013 |
| Předmět: | |
| Druh dokumentu: | Working Paper |
| Popis: | 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 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. Comment: 14 pages, 2 figures, 6 tables |
| Databáze: | arXiv |
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