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        Computer Aided Verification

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

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        Contributor(s)
        Dillig, Isil (editor)
        Tasiran, Serdar (editor)
        Language
        English
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        Abstract
        This 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/20.500.12657/23325
        Keywords
        Computer science; Software engineering; Programming languages (Electronic computers); Computers; Artificial intelligence; Computer simulation; Computer organization
        DOI
        10.1007/978-3-030-25540-4
        Publisher
        Springer Nature
        Publisher website
        https://www.springernature.com/gp/products/books
        Publication date and place
        2019
        Series
        Lecture Notes in Computer Science,
        Classification
        Programming and scripting languages: general
        Software Engineering
        Computer networking and communications
        Computer science
        Computer modelling and simulation
        Artificial intelligence
        Pages
        673
        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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