Verification of lean-kanban processes with probabilistic model checking
by Lianyi Zhang; Qingdi Meng; Guiming Luo
International Journal of Computer Applications in Technology (IJCAT), Vol. 53, No. 4, 2016

Abstract: Many software processes have been adopted in industrial practices. It is important to be able to understand whether a software process is efficient and effective. Many software process simulation methods have been proposed over the years to estimate and measure the processes. These measurements are highly effective at what they do but they are also highly inefficient in other terms. In this paper, we present a proposal for the application of probabilistic model checking in software process modelling, simulation and verification. Software processes are modelled using Markov chain models and the interested properties are specified as probabilistic temporal logic. We illustrate the proposal by a real case study of software maintenance of the lean-kanban process. The process requirements were validated by PRISM.

Online publication date: Wed, 01-Jun-2016

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