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    Computer Aided Verification

    30th International Conference, CAV 2018, Held as Part of the Federated Logic Conference, FloC 2018, Oxford, UK, July 14-17, 2018, Proceedings, Part II

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    Contributor(s)
    Chockler, Hana (editor)
    Weissenbacher, Georg (editor)
    Language
    English
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    Abstract
    This open access two-volume set LNCS 10980 and 10981 constitutes the refereed proceedings of the 30th International Conference on Computer Aided Verification, CAV 2018, held in Oxford, UK, in July 2018. The 52 full and 13 tool papers presented together with 3 invited papers and 2 tutorials were carefully reviewed and selected from 215 submissions. The papers cover a wide range of topics and techniques, from algorithmic and logical foundations of verification to practical applications in distributed, networked, cyber-physical, and autonomous systems. They are organized in topical sections on model checking, program analysis using polyhedra, synthesis, learning, runtime verification, hybrid and timed systems, tools, probabilistic systems, static analysis, theory and security, SAT, SMT and decisions procedures, concurrency, and CPS, hardware, industrial applications.
    URI
    http://library.oapen.org/handle/20.500.12657/23317
    Keywords
    Computer science; Computer logic; Software engineering; Artificial intelligence; Mathematical logic; Algorithms; Computer simulation
    DOI
    10.1007/978-3-319-96142-2
    Publisher
    Springer Nature
    Publisher website
    https://www.springernature.com/gp/products/books
    Publication date and place
    2018
    Series
    Lecture Notes in Computer Science,
    Classification
    Computer programming / software engineering
    Algorithms and data structures
    Software Engineering
    Mathematical theory of computation
    Computer modelling and simulation
    Artificial intelligence
    Pages
    545
    Rights
    https://creativecommons.org/licenses/by/4.0
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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