Verification of lean-kanban processes with probabilistic model checking. (2016)

• Record Type: Journal Article
• Authors: Zhang, Lianyi; Meng, Qingdi; Luo, Guiming
• Is Part Of: International journal of computer applications technology. Volume 53:Number 4(2016)
• Page Start: 358
• Page End: 368
• Publication Date: 2016
• Subjects: software processes -- Markov chain -- lean processes -- kanban -- probabilistic temporal logic -- software process verification -- probabilistic model checking -- software process modelling -- simulation -- model verification -- software maintenance; Technology -- Data processing -- Periodicals; 620.00285
• Languages: English
• ISSNs: 0952-8091

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.