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    Computer Aided Verification

    31st International Conference, CAV 2019, New York City, NY, USA, July 15-18, 2019, Proceedings, Part II

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    Contributor(s)
    Dillig, Isil (editor)
    Tasiran, Serdar (editor)
    Language
    English
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    Abstract
    The open access two-volume set LNCS 11561 and 11562 constitutes the refereed proceedings of the 31st International Conference on Computer Aided Verification, CAV 2019, held in New York City, USA, in July 2019. The 52 full papers presented together with 13 tool papers and 2 case studies, were carefully reviewed and selected from 258 submissions. The papers were organized in the following topical sections: Part I: automata and timed systems; security and hyperproperties; synthesis; model checking; cyber-physical systems and machine learning; probabilistic systems, runtime techniques; dynamical, hybrid, and reactive systems; Part II: logics, decision procedures; and solvers; numerical programs; verification; distributed systems and networks; verification and invariants; and concurrency.
    URI
    http://library.oapen.org/handle/20.500.12657/23324
    Keywords
    Computer science; Software engineering; Computer logic; Mathematical logic; Computer system failures; Computers; Artificial intelligence; Computer logic
    DOI
    10.1007/978-3-030-25543-5
    Publisher
    Springer Nature
    Publisher website
    https://www.springernature.com/gp/products/books
    Publication date and place
    2019
    Series
    Lecture Notes in Computer Science,
    Classification
    Information technology: general issues
    Computer programming / software development
    Software Engineering
    Mathematical theory of computation
    Systems analysis & design
    Artificial intelligence
    Pages
    549
    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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