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

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Computer-Aided Security Proofsf probabilistic computations. Probabilistic program logics are program logics that allow to reason formally about executions of probabilistic programs, and can be used to verify complex probabilistic algorithms.
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High-Level Counterexamples for Probabilistic Automatais paper we describe how a minimal subset of the commands can be identified which together already make the system erroneous. We additionally show how the selected commands can be further simplified to obtain a well-understandable counterexample.
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Modelling, Reduction and Analysis of Markov Automatants the foundations and underlying algorithms for efficient MA modelling, reduction using static analysis, and most importantly, quantitative analysis. We also discuss implementation pragmatics of supporting tools and present several case studies demonstrating feasibility and usability of MA in practice.
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PEPERCORN: Inferring Performance Models from Location Tracking Datarformance Model (PNPM) construction tool, which, given a dataset of raw location tracking traces obtained from a customer-processing system, automatically formulates and parameterises a corresponding Coloured Generalised Stochastic Petri Net (CGSPN) performance model.
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