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• W2132217355 abstract "We present a translation of a generic stochastic process algebra model into a form suitable for stochastic simulation. By systematically generating rate equations from a process description, we can use tools developed for chemical and biochemical reaction analysis to provide time-series output for models with state spaces of O(10/sup 10000/) and beyond. We apply these techniques to a significant case study: that of a secure electronic voting protocol." @default.
• W2132217355 created "2016-06-24" @default.
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• W2132217355 date "2006-04-25" @default.
• W2132217355 modified "2023-09-22" @default.
• W2132217355 title "Performance analysis of stochastic process algebra models using stochastic simulation" @default.
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• W2132217355 doi "https://doi.org/10.5555/1898699.1898855" @default.
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