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Coverage in interpolation-based model checking

Abstract:
Coverage is a means to quantify the quality of a system specification, and is frequently applied to assess progress in system validation. Coverage is a standard measure in testing, but is very difficult to compute in the context of formal verification. We present efficient algorithms for identifying those parts of the system that are covered by a given property. Our algorithm is integrated into state-of-the-art SAT-based Model Checking using Craig interpolation. The key insight of our algorithm is to re-use previously computed inductive invariants and counterexamples. This re-use permits a quick conclusion of the vast majority of tests, and enables the computation of a coverage measure with 96% accuracy with only 5x the runtime of the Model Checker.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1145/1837274.1837320

Authors


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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author

Contributors

Role:
Editor


Publisher:
Association for Computing Machinery
Host title:
Proceedings - Design Automation Conference
Journal:
Proceedings of the 47th Design Automation Conference More from this journal
Publication date:
2010-09-07
DOI:
ISSN:
0738-100X
ISBN:
9781450300025


Keywords:
Pubs id:
pubs:327221
UUID:
uuid:519f5b8f-990e-4779-a38f-1767bc4c4517
Local pid:
pubs:327221
Source identifiers:
327221
Deposit date:
2017-01-28

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