Titlebook: Computer Aided Verification; 31st International C Isil Dillig,Serdar Tasiran Conference proceedings‘‘‘‘‘‘‘‘ 2019 The Editor(s) (if applicab

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尖牙

Exemplarische Anwendung des Modells,s by .. In this approach, the problem of checking .-safety over the original program is reduced to checking an “ordinary” safety property over a program that executes . copies of the original program in some order. The way in which the copies are composed determines how complicated it is to verify t

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易改变

https://doi.org/10.1007/978-3-658-32441-4a program. The key observation is that constructing a proof for a small representative set of the runs of the product program (i.e. the product of the several copies of the program by itself), called a ., is sufficient to formally prove the hypersafety property about the program. We propose an algor

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https://doi.org/10.1007/978-3-663-05114-5algorithms for synthesis in bounded environments, where the environment can only generate input sequences that are ultimately periodic words (lassos) with finite representations of bounded size. We provide automata-theoretic and symbolic approaches for solving this synthesis problem, and also study

柳树；枯黄

https://doi.org/10.1007/978-3-663-04937-1points. Such properties are formally specified by universally quantified formulas, which are difficult to find, and difficult to prove inductive. In this paper, we propose an algorithm based on an enumerative search that discovers quantified invariants in stages. First, by exploiting the program syn

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https://doi.org/10.1007/978-3-663-04937-1igm of . (.), which iteratively calls a synthesizer on finite sample sets from a given distribution. We make theoretical and algorithmic contributions: (.) We prove the surprising result that . only requires a polynomial number of synthesizer calls in the size of the sample set, despite its ostensib

叙述

Wilhelm Sturtzel,Werner Graff,Helmut Binekwithout a template and generate an automaton with nondeterministic guards and invariants, and with an arbitrary number and topology of modes. They thus construct a succinct model from the data and provide formal guarantees. In particular, (1) the generated automaton can reproduce the data up to a sp

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https://doi.org/10.1007/978-3-030-25540-4artificial intelligence; authentication; data security; formal logic; formal methods; model checker; model