Titlebook: Computer Aided Verification; 35th International C Constantin Enea,Akash Lal Conference proceedings‘‘‘‘‘‘‘‘ 2023 The Editor(s) (if applicabl

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書(shū)目名稱Computer Aided Verification影響因子(影響力)




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nautical

Learning Assumptions for?Compositional Verification of?Timed Automatacomponents. It is essential to address the state explosion problem associated with model checking. However, obtaining the appropriate assumption for AGR is always a highly mental challenge, especially in the case of timed systems. In this paper, we propose a learning-based compositional verification

最高點(diǎn)

Online Causation Monitoring of Signal Temporal Logic specification in, e.g., .. The classic STL monitoring is performed by computing a robustness interval that specifies, at each instant, how far the monitored signals are from violating and satisfying the specification. However, since a robustness interval monotonically shrinks during monitoring, cla

Aprope

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分發(fā)

Fast Termination and?Workflow Netsall possible runs. Recent work on the termination of Petri nets suggests that, in general, practical models should terminate fast, . in polynomial time. In this paper we focus on the termination of workflow nets, an established variant of Petri nets used for modelling business processes. We partiall

Projection

Lincheck: A Practical Framework for?Testing Concurrent Data Structures on?JVMimple and declarative way to write concurrent tests: instead of describing . to perform the test, users specify . by declaring all the operations to examine; the framework automatically handles the rest. As a result, tests written with . are concise and easy to understand. The framework automaticall

古文字學(xué)

Kindle

Overcoming Memory Weakness with?Unified Fairnesss that preclude demonic non-determinism, are motivated by practical observations, and are amenable to algorithmic techniques. We provide both logical and stochastic definitions of our fairness notions, and prove that they are equivalent in the context of liveness verification. In particular, we show