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Model Classifications and Automated Verification

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Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 4916))

Abstract

Due to the significant progress in automated verification, there are often several techniques for a particular verification problem. In many circumstances different techniques are complementary — each technique works well for different type of input instances. Unfortunately, it is not clear how to choose an appropriate technique for a specific instance of a problem. In this work we argue that this problem, selection of a technique and tuning its parameter values, should be considered as a standalone problem (a verification meta-search). We propose several classifications of models of asynchronous system and discuss applications of these classifications in the context of explicit finite state model checking.

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Stefan Leue Pedro Merino

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Pelánek, R. (2008). Model Classifications and Automated Verification. In: Leue, S., Merino, P. (eds) Formal Methods for Industrial Critical Systems. FMICS 2007. Lecture Notes in Computer Science, vol 4916. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-79707-4_12

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  • DOI: https://doi.org/10.1007/978-3-540-79707-4_12

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-79706-7

  • Online ISBN: 978-3-540-79707-4

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