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An introduction to the ORIS tool

An introduction to the ORIS tool

2017
Abstract
ORIS provides a graphical interface to draw Petri nets, analysis engines for different classes of underlying stochastic process, and visualization of reward-based metrics. It also includes a Java API for model definition and analysis, which can be used to carry out parametric performance studies. ORIS implements methods for steady-state and transient analysis of Semi-Markov Processes (SMPs), Markov Regenerative Processes (MRPs), Generalized Semi-Markov Processes (GSMPs), and Continuous-Time Markov Chains (CTMCs).

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