| Article ID: | iaor200947152 |
| Country: | United States |
| Volume: | 4 |
| Issue: | 34 |
| Start Page Number: | 223 |
| End Page Number: | 236 |
| Publication Date: | Mar 2008 |
| Journal: | International Journal of Simulation and Process Modelling |
| Authors: | Park Seunghun, Kim Hyeonjeong, Kang Dongwon, Bae DooHwan |
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 (software process engineering meta-model), and widely adopted analytical models. An SPEM‐based process model is integrated with the quantitative information and transformed into a discrete event system specification (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.