2007 | OriginalPaper | Buchkapitel
Encodings of Bounded LTL Model Checking in Effectively Propositional Logic
verfasst von : Juan Antonio Navarro-Pérez, Andrei Voronkov
Erschienen in: Automated Deduction – CADE-21
Verlag: Springer Berlin Heidelberg
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We present an encoding of LTL bounded model checking problems within the Bernays-Schönfinkel fragment of first-order logic. This fragment, which also corresponds to the category of effectively propositional problems (EPR) of the CASC system competitions, allows a natural and succinct representation of both a software/hardware system and the property that one wants to verify.
The encoding for the transition system produces a formula whose size is linear with respect to its original description in common component description languages used in the field (e.g.
smv
format) preserving its modularity and hierarchical structure. Likewise, the LTL property is encoded in a formula of linear size with respect to the input formula, plus an additional component, with a size of
O
(log
k
) where
k
is the bound, that represents the execution flow of the system.
The encoding of bounded model checking problems by effectively propositional formulae is the main contribution of this paper. As a side effect, we obtain a rich collection of benchmarks with close links to real-life applications for the automated reasoning community.