2000
DOI: 10.1007/s100090050046
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NUSMV: a new symbolic model checker

Abstract: This paper describes a new symbolic model checker, called NUSMV, developed as part of a joint project between CMU and IRST. NUSMV is the result of the reengineering, reimplementation, and, to a limited extent, extension of the CMU SMV model checker. The core of this paper consists of a detailed description of the NUSMV functionalities, architecture, and implementation.

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Cited by 497 publications
(286 citation statements)
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“…For example, we can model check the local applet properties by translating, as appropriate, the specifications into CTL (e.g. as input for NuSMV [5]) or LTL (e.g. as input for SPIN [10]), while we can use the modal µ-calculus to prove the correctness of the property decomposition, as this is more suitable for the task.…”
Section: Specification Patternsmentioning
confidence: 99%
“…For example, we can model check the local applet properties by translating, as appropriate, the specifications into CTL (e.g. as input for NuSMV [5]) or LTL (e.g. as input for SPIN [10]), while we can use the modal µ-calculus to prove the correctness of the property decomposition, as this is more suitable for the task.…”
Section: Specification Patternsmentioning
confidence: 99%
“…NuSMV is a symbolic model checker originated from the reengineering, reimplementation and extension of SMV, the original BDD-based model checker developed at CMU [15]. The NuSMV project aims at the development of a state-of-the-art symbolic model checker, designed to be applicable in technology transfer projects: it is a well structured, open, flexible and documented platform for model checking, and is robust and close to industrial systems standards [6].…”
Section: Introductionmentioning
confidence: 99%
“…Which model checker is most suited depends upon the properties of the system being modelled and the requirement being verified. We have implemented an interface to NuSMV [9] and Kronos [10]. Table 3 shows the features of these model checkers.…”
Section: Tool Supportmentioning
confidence: 99%
“…1). It can do this in the format required by several model checkers such as SMV [8], NuSMV [9] and Kronos [10]. The semantics can be represented as a labelled transition system, or in other formats understandable by a model checker.…”
Section: Introductionmentioning
confidence: 99%