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Titlebook: Computer Aided Verification; 23rd International C Ganesh Gopalakrishnan,Shaz Qadeer Conference proceedings 2011 Springer-Verlag GmbH Berlin

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The BINCOA Framework for Binary Code Analysis,el programs (typically: executable files), an XML format for easy exchange of models and some basic tool support. The BINCOA framework already comes with three different analysers, including simulation, test generation and Control-Flow Graph reconstruction.
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,: A Tool for Configurable Software Verification,. This paper presents ., a tool and framework that aims at easy integration of new verification components. Every abstract domain, together with the corresponding operations, implements the interface of configurable program analysis (CPA). The main algorithm is configurable to perform a reachability
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Existential Quantification as Incremental SAT,echniques in that it is based solely on manipulating the SAT instance rather than requiring any reengineering of the SAT solver or needing an auxiliary data-structure such as a BDD. The algorithm combines model enumeration with the generation of shortest prime implicants so as to converge onto a qua
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Efficient Analysis of Probabilistic Programs with an Unbounded Counter,uantitative analysis. In particular, we show that the expected termination time can be approximated up to an arbitrarily small relative error with polynomially many arithmetic operations, and the same holds for the probability of all runs that satisfy a given .-regular property. Further, our results
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Model Checking Algorithms for CTMDPs,chastic systems that allow some external control. Model checking CSL formulae over CTMDPs requires then the computation of optimal control strategies to prove or disprove a formula. The paper presents a conservative extension of CSL over CTMDPs—with rewards—and exploits established results for CTMDP
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Robert Siegmund,Uwe Proß,Dietmar MüllerTL properties under universally quantified parametric fairness assumptions, specified by . strong/weak fairness formulas. It enables verification of temporal properties under fairness conditions associated to dynamic entities such as new process creations. We have implemented our algorithm within the Maude system.
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Hiren D. Patel,Sandeep K. Shukla establish a powerful link between pOC and martingale theory, which leads to fundamental observations about quantitative properties of runs in pOC. In particular, we provide a “divergence gap theorem”, which bounds a positive non-termination probability in pOC away from zero.
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