2008
DOI: 10.1109/tcad.2008.2003303
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Symbolic Compilation of PSL

Abstract: Abstract-The IEEE standard Property Specification Language (PSL) is increasingly used in many phases of the hardware design cycle, from specification to verification. PSL combines Linear Temporal Logic (LTL) with Sequential Extended Regular Expressions (SEREs), and thus provides a natural formalism to express all ω-regular properties.In this paper, we propose a new method for efficiently converting PSL formulas into symbolically represented Nondeterministic (Generalized) Büchi Automata (NGBA), that are typical… Show more

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Cited by 15 publications
(13 citation statements)
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“…All tests were done on a Debian Linux machine with an Intel Core Duo 1.86 GHz processor and 2 GiB RAM. Both benchmark sets were against the state-of-theart PSL implementation that is presented in [19]. That implementation is also built on top of NuSMV.…”
Section: Methodsmentioning
confidence: 99%
See 3 more Smart Citations
“…All tests were done on a Debian Linux machine with an Intel Core Duo 1.86 GHz processor and 2 GiB RAM. Both benchmark sets were against the state-of-theart PSL implementation that is presented in [19]. That implementation is also built on top of NuSMV.…”
Section: Methodsmentioning
confidence: 99%
“…That implementation is also built on top of NuSMV. For the first comparison, the same set of benchmarks is used as in the paper [19], which includes both general (non-safety) and safety properties. Their BDD-based algorithm, with syntactic optimizations turned on, is compared with the BDD-based invariant checking of NuSMV 2.4.3, combined with our transducer encoding based observer.…”
Section: Methodsmentioning
confidence: 99%
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“…To cope with the state explosion problem, advanced techniques can be applied, in particular symbolic techniques based on Binary Decision Diagrams (BDD) [9] and SAT-based Bounded Model Checking [4,5,22,18] (BMC). Verification can also benefit from advanced techniques for compiling temporal properties into a symbolic LTS [12].…”
Section: Verification Of Functional Propertiesmentioning
confidence: 99%