The synthesis of stochastic processes using genetic programming is investigated. Stochastic process behaviours take the form of time series data, in which quantities of interest v...
In this paper we describe our experience in performance analysis of the software architecture of the NICE case study which is responsible for providing several secure communicatio...
Simonetta Balsamo, Moreno Marzolla, Antinisca Di M...
We summarize the results of an experimental performance evaluation of using an empirical histogram to approximate the steady-state distribution of the underlying stochastic proces...
In this paper Hidden Markov Model algorithms are considered as a method for computing conditional properties of continuous-time stochastic simulation models. The goal is to develo...
Fabian Wickborn, Claudia Isensee, Thomas Simon, Sa...
Abstract. Starting from a biochemical signalling pathway model expressed in a process algebra enriched with quantitative information we automatically derive both continuous-space a...
Muffy Calder, Adam Duguid, Stephen Gilmore, Jane H...