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Titlebook: Computer Aided Verification; 32nd International C Shuvendu K. Lahiri,Chao Wang Conference proceedings‘‘‘‘‘‘‘‘ 2020 The Editor(s) (if applic

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Recursive Data Structures in SPARKion of the SPARK language and toolset to support pointers. This extension is based on an ownership policy inspired by Rust to enforce non-aliasing through a move semantics of assignment. In particular, we consider pointer-based recursive data structures, and discuss how they are supported in SPARK.
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Ivy: A Multi-modal Verification Tool for Distributed Algorithms, implementation and proof. Ivy supports proving safety and liveness properties of parameterized and infinite-state systems via three modes: deductive verification using an SMT solver, abstraction and model checking, and manual proofs using natural deduction. It supports light-weight formal methods
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Maximum Causal Entropy Specification Inference from Demonstrationser do not provide guarantees that the learned artifacts can be safely composed or do not explicitly capture temporal properties. Motivated by this deficit, recent works have proposed learning Boolean ., a class of Boolean non-Markovian rewards which admit well-defined composition and explicitly hand
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Certifying Certainty and Uncertainty in Approximate Membership Query Structures and false negative answers. Correctness proofs of such structures involve subtle reasoning about bounds on probabilities of getting certain outcomes. Because of these subtleties, a number of unsound arguments in such proofs have been made over the years..In this work, we address the challenge of bu
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https://doi.org/10.1007/978-3-030-53291-8architecture verification and validation; artificial intelligence; automata theory; computer systems; co
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