Finite Model Finding for Parameterized Verification

Computer Science – Logic in Computer Science

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

17 pages, slightly different version of the paper is submitted to TACAS 2011

Scientific paper

In this paper we investigate to which extent a very simple and natural "reachability as deducibility" approach, originated in the research in formal methods in security, is applicable to the automated verification of large classes of infinite state and parameterized systems. The approach is based on modeling the reachability between (parameterized) states as deducibility between suitable encodings of states by formulas of first-order predicate logic. The verification of a safety property is reduced to a pure logical problem of finding a countermodel for a first-order formula. The later task is delegated then to the generic automated finite model building procedures. In this paper we first establish the relative completeness of the finite countermodel finding method (FCM) for a class of parameterized linear arrays of finite automata. The method is shown to be at least as powerful as known methods based on monotonic abstraction and symbolic backward reachability. Further, we extend the relative completeness of the approach and show that it can solve all safety verification problems which can be solved by the traditional regular model checking.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Finite Model Finding for Parameterized Verification does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Finite Model Finding for Parameterized Verification, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Finite Model Finding for Parameterized Verification will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-594058

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.