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Titlebook: Computer Aided Verification; 27th International C Daniel Kroening,Corina S. Păsăreanu Conference proceedings 2015 Springer International Pu

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楼主: Ensign
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Stochastische Verhaltensanalyse, Z3str2, for the quantifier-free theory of string equations, the regular-expression membership predicate and linear arithmetic over the length function. We report on a series of experiments over four sets of challenging real-world benchmarks, where we compared Z3str2 with five different string solve
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Faster Algorithms for Quantitative Verification in Constant Treewidth Graphs, as compared to the classical algorithms that require quadratic time. Second, for the ratio property we present an algorithm that for constant treewidth graphs works in time ., when the output is ., as compared to the previously best known algorithm with running time .. Third, for the minimum initi
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Counterexample Explanation by Learning Small Strategies in Markov Decision Processes decision trees. There are three main consequent advantages of our approach. Firstly, it exploits the quantitative information on states, stressing the more important decisions. Secondly, it leads to a greater variability and degree of freedom in representing the strategies. Thirdly, the representat
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Effective Search-Space Pruning for Solvers of String Equations, Regular Expressions and Length Const Z3str2, for the quantifier-free theory of string equations, the regular-expression membership predicate and linear arithmetic over the length function. We report on a series of experiments over four sets of challenging real-world benchmarks, where we compared Z3str2 with five different string solve
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0302-9743 Conference on Computer Aided Verification, CAV 2015, held in San Francisco, CA, USA, in July 2015..The total of 58 full and 11 short papers presented in the proceedings was carefully reviewed and selected from 252 submissions. The papers were organized in topical sections named: model checking and r
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On Automation of CTL* Verification for Infinite-State Systemsn for nondeterminism explicit in variables predicting future outcomes when necessary. We show the viability of our approach in practice using examples drawn from device drivers and various industrial examples.
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