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Test case generation using stochastic automata networks: quantitative analysis
Proceedings of the Second International Conference on Software Engineering and Formal Methods, 2004. SEFM 2004.
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The software engineering community has been using Markov Chains (MC) to describe usage models. We have been working on the use of a more sophisticated discrete state formalism: Stochastic Automata Networks (SAN). SAN is a formalism with the same power of description as MC; however, a system in SAN is described as a collection of subsystems described by local states, transitions and synchronizing events, allowing higher modularity and maintainability. We present a description of SAN formalism,
doi:10.1109/sefm.2004.1347529
fatcat:ggto6syie5gjlctoblueuh7scu