Titlebook: Quantitative Evaluation of Systems; 10th International C Kaustubh Joshi,Markus Siegle,Pedro R. D’Argenio Conference proceedings 2013 Spring

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Tulip: Model Checking Probabilistic Systems Using Expectation Maximisation Algorithmic context-free grammars. The core of the tool is an iterative expectation maximisation procedure to compute values for the unknown probabilities in a parametrised system, which maximises the probability of satisfying the specification. The tool supports specifications given as LTL formulas or unamb

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,—On a Quest for Probabilistic Loop Invariantshe methodology which was set out in previous work. In particular we have substantially simplified the method and generalised it to non-linear programs and invariants. . follows a constraint-based approach. A given parameterised loop annotation is speculatively placed in the program. The tool returns

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