Titlebook: CONCUR 2013 -- Concurrency Theory; 24th International C Pedro R. D’Argenio,Hernán Melgratti Conference proceedings 2013 Springer-Verlag Ber

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Causality-Based Verification of Multi-threaded Programswhole space of potential error traces is covered by causal loops. The causality-based verification of multi-threaded programs can be dramatically faster than the standard state space traversal. In particular, we show that the complexity of verifying multi-threaded programs with locks reduces from exponential to polynomial.

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https://doi.org/10.1057/9781137010520mata) construction is combined with Karp-Miller acceleration (resp. ideal representation) to characterize the set of successors (resp. predecessors) of given configurations. As examples, we show that the coverability is decidable for ., ., and a WSPDS with finite control states and well-quasi-ordered stack alphabet.

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Traditional Beliefs about Disabilitiesar logics that are solvable in exponential space, a distinguishing feature of our logic is its ability to express non-context-freeness of the trace language of a VAS. This allows us to show that the context-freeness problem for VAS, whose complexity was not established so far, is .-complete.

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Conference proceedings 2013es, Argentina, August 27-30, 2013. .The 34 revised full papers presented together with 4 invited talks were carefully reviewed and selected from 115 submissions. The papers are organized in topics such as process semantics and modal transition systems, VAS and pushdown systems, Pi calculus and inter

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0302-9743 he 24th International Conference on Concurrency Theory, CONCUR 2013, held in Buenos Aires, Argentina, August 27-30, 2013. .The 34 revised full papers presented together with 4 invited talks were carefully reviewed and selected from 115 submissions. The papers are organized in topics such as process

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https://doi.org/10.1057/9780230245273 the complexity of timing analysis and/or decreases the precision of its results. In this paper, we survey recent work on the impact of shared buses, caches, and other resources on performance and performance prediction.

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Impact of Resource Sharing on Performance and Performance Prediction: A Survey the complexity of timing analysis and/or decreases the precision of its results. In this paper, we survey recent work on the impact of shared buses, caches, and other resources on performance and performance prediction.