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Verified Certification of Reachability Checking for Timed Automata

Prior research has shown how to construct a mechanically verified model checker for timed automata, a popular formalism for modeling real-time systems. In this paper, we shift the focus from verified model checking to certifying unreachability. This allows us to benefit from better approximation ope...

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Detalles Bibliográficos
Autores principales: Wimmer, Simon, Mutius, Joshua von
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7439749/
http://dx.doi.org/10.1007/978-3-030-45190-5_24
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author Wimmer, Simon
Mutius, Joshua von
author_facet Wimmer, Simon
Mutius, Joshua von
author_sort Wimmer, Simon
collection PubMed
description Prior research has shown how to construct a mechanically verified model checker for timed automata, a popular formalism for modeling real-time systems. In this paper, we shift the focus from verified model checking to certifying unreachability. This allows us to benefit from better approximation operations for symbolic states, and reduces execution time by exploring fewer states and by exploiting parallelism. Moreover, this gives us the ability to audit results of unverified model checkers that implement a range of further optimizations, including certificate compression. The resulting tool is evaluated on a set of standard benchmarks to demonstrate its practicality, using a new unverified model checker implementation in Standard ML to construct the certificates.
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spelling pubmed-74397492020-08-21 Verified Certification of Reachability Checking for Timed Automata Wimmer, Simon Mutius, Joshua von Tools and Algorithms for the Construction and Analysis of Systems Article Prior research has shown how to construct a mechanically verified model checker for timed automata, a popular formalism for modeling real-time systems. In this paper, we shift the focus from verified model checking to certifying unreachability. This allows us to benefit from better approximation operations for symbolic states, and reduces execution time by exploring fewer states and by exploiting parallelism. Moreover, this gives us the ability to audit results of unverified model checkers that implement a range of further optimizations, including certificate compression. The resulting tool is evaluated on a set of standard benchmarks to demonstrate its practicality, using a new unverified model checker implementation in Standard ML to construct the certificates. 2020-03-13 /pmc/articles/PMC7439749/ http://dx.doi.org/10.1007/978-3-030-45190-5_24 Text en © The Author(s) 2020 Open Access This chapter is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made. The images or other third party material in this chapter are included in the chapter's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the chapter's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.
spellingShingle Article
Wimmer, Simon
Mutius, Joshua von
Verified Certification of Reachability Checking for Timed Automata
title Verified Certification of Reachability Checking for Timed Automata
title_full Verified Certification of Reachability Checking for Timed Automata
title_fullStr Verified Certification of Reachability Checking for Timed Automata
title_full_unstemmed Verified Certification of Reachability Checking for Timed Automata
title_short Verified Certification of Reachability Checking for Timed Automata
title_sort verified certification of reachability checking for timed automata
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7439749/
http://dx.doi.org/10.1007/978-3-030-45190-5_24
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