Confluence Reduction for Markov Automata
نویسندگان
چکیده
Article history: Received 7 July 2015 Accepted 12 January 2016 Available online 19 January 2016
منابع مشابه
Efficient modelling, generation and analysis of Markov automata
Quantitative model checking is concerned with the verification of both quantitative and qualitative properties over models incorporating quantitative information. Increases in expressivity of the models involved allow more types of systems to be analysed, but also raise the difficulty of their efficient analysis. Three years ago, the Markov automaton (MA) was introduced as a generalisation of p...
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To improve the efficiency of model checking in general, and probabilistic model checking in particular, several reduction techniques have been introduced. Two of these, confluence reduction and partial-order reduction by means of ample sets, are based on similar principles, and both preserve branching-time properties for probabilistic models. Confluence reduction has been introduced for probabi...
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In quantitative model checking we are concerned with verifying both quantitative and qualitative properties over models. Markov Automata are what we use to model these systems. In these transition systems nondeterminism, probabilistic behaviour and behaviour over time can all be modelled. SCOOP is a tool that uses several techniques, including confluence reduction and dead variable reduction, t...
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ورودعنوان ژورنال:
- Theor. Comput. Sci.
دوره 655 شماره
صفحات -
تاریخ انتشار 2013