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            Computer Aided Verification

            35th International Conference, CAV 2023, Paris, France, July 17–22, 2023, Proceedings, Part II

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            Contributor(s)
            Enea, Constantin (editor)
            Lal, Akash (editor)
            Language
            English
            Show full item record
            Abstract
            The open access proceedings set LNCS 13964, 13965, 13966 constitutes the refereed proceedings of the 35th International Conference on Computer Aided Verification, CAV 2023, which was held in Paris, France, in July 2023. The 67 full papers presented in these proceedings were carefully reviewed and selected from 261 submissions. The have been organized in topical sections as follows: Part I: Automata and logic; concurrency; cyber-physical and hybrid systems; synthesis; Part II: Decision procedures; model checking; neural networks and machine learning; Part II: Probabilistic systems; security and quantum systems; software verification.
            URI
            https://doab-dev.siscern.org/handle/20.500.12854/177484
            Keywords
            architecture verification and validation; artificial intelligence; computer programming; distributed computer systems; formal logic; embedded systems; model checking; programming languages; software architecture; software design; software quality; logic and verification
            DOI
            10.1007/978-3-031-37703-7
            ISBN
            9783031377037, 9783031377020
            Publisher
            Springer Nature
            Publisher website
            http://www.springernature.com/oabooks
            Publication date and place
            Cham, 2023
            Imprint
            Springer Nature Switzerland
            Series
            Lecture Notes in Computer Science,
            Pages
            460
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            Credits


            • logo Investir l'avenirInvestir l'avenir
            • logo MESRIMESRI
            • logo EUEuropean Union
              This project received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 871069.

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