Title: Developing a software process simulation model using SPEM and analytical models
Authors: Seunghun Park, Hyeonjeong Kim, Dongwon Kang, Doo-Hwan Bae
Addresses: Division of Computer Science, Department of EECS, KAIST, Korea. ' Division of Computer Science, Department of EECS, KAIST, Korea. ' Division of Computer Science, Department of EECS, KAIST, Korea. ' Division of Computer Science, Department of EECS, KAIST, Korea
Abstract: To develop Software Process Simulation Models (SPSMs) more effectively, we need to consider the following issues: reducing the knowledge difference between increasing the reusability of a simulation model, decreasing the complexity of a simulation model, and mitigating the lack of historical data. We propose an approach to develop an SPSM based on SPEM, and widely adopted analytical models. An SPEM-based process model is integrated with the quantitative information and transformed into a DEVS-Hybrid SPSM. Our approach resolves the issues by the transformation algorithms, the hierarchical and modularised modelling properties of SPEM and DEVS, and widely adopted analytical models.
Keywords: simulation modelling; software process simulation; SPEM; UML; analytical models; DEVS; software process.
DOI: 10.1504/IJSPM.2008.023684
International Journal of Simulation and Process Modelling, 2008 Vol.4 No.3/4, pp.223 - 236
Published online: 07 Mar 2009 *
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