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Titlebook: Computer Aided Verification; 36th International C Arie Gurfinkel,Vijay Ganesh Conference proceedings‘‘‘‘‘‘‘‘ 2024 The Editor(s) (if applica

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Conference proceedings‘‘‘‘‘‘‘‘ 2024lace in Montreal, Canada, during July 24–27, 2024...The primary focus of CAV is to extend the frontiers of verification techniques by expanding to new domains such as security, quantum computing, and machine learning..
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Optionen für die Entscheidungsfindungunctions, as well as many user-defined collective functions. A prototype verification system has been implemented using the CIVL model checker for checking contract satisfaction within small bounds on the number of processes.
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Gábor Erdélyi,Christian Reger,Yongjie Yangar crash in a simulated physics environment. For the latter, we also contribute the ., a domain-specific, web-based example interface for legal and other practitioners to specify factual and counterfactual queries without requiring sophisticated programming or formal methods expertise.
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0302-9743 he 36th International Conference on Computer-Aided Verification, CAV 2024, which took place in Montreal, Canada, during July 24–27, 2024...The primary focus of CAV is to extend the frontiers of verification techniques by expanding to new domains such as security, quantum computing, and machine learn
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https://doi.org/10.1007/978-3-030-90928-4son with a cycle-based computational model, by leveraging stable states abstraction. Our methodology found actual bugs in the new code that were missed by other analyses, and aids in documenting the expected differences with the legacy behaviors.
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Testing the Migration from Analog to Software-Based Railway Interlocking Systemsson with a cycle-based computational model, by leveraging stable states abstraction. Our methodology found actual bugs in the new code that were missed by other analyses, and aids in documenting the expected differences with the legacy behaviors.
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0302-9743 focus of CAV is to extend the frontiers of verification techniques by expanding to new domains such as security, quantum computing, and machine learning..978-3-031-65629-3978-3-031-65630-9Series ISSN 0302-9743 Series E-ISSN 1611-3349
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