Int J Performability Eng ›› 2020, Vol. 16 ›› Issue (2): 223-237.doi: 10.23940/ijpe.20.02.p7.223237

• Orginal Article • Previous Articles     Next Articles

Integrated Modeling Method of Complex Embedded System with SAVI Framework

Ning Zhanga, Yunwei Donga*(), and Feng Xueb   

  1. a School of Computer Science and Engineering, Northwestern Polytechnical University, Xi'an, 710129, China
    b NARI Group Corporation (State Grid Electric Power Research Institute), Nanjing, 211106, China
  • Submitted on ; Revised on ; Accepted on
  • Contact: Yunwei Dong
  • Supported by:
    This work is supported by the National Power Grid Company Science and Technical Plan Project (Research on System Protection Test and Verification Technology Based on Multi-mode Real-time Co-simulation and Flexible Reconfiguration of Control Strategy) and the National Science Foundation of China (No. 61772423).


SAVI is well known for addressing cost and schedule overruns due to the growing growth complexity of embedded systems. There are a number of SAVI frameworks for model-based system integration, each with different characteristics and capabilities. In order to choose an appropriate framework for complex embedded system design, modeling methods should be carefully considered. This paper presents an integrated modeling method for complex embedded systems based on the SAVI framework. In order to solve the high abstraction and complex interoperability of models, the method adopts view-based model representation, multi-model transformation based on binary transformation combinations, and service-oriented model bus implementation, providing a feasible way to promote the consistency and integrity of heterogeneous models. In addition, a supporting tool, ESMEAT, is implemented and applied. The results of the proposed method are of great significance to the development and automation of complex embedded systems.

Key words: SAVI framework, complex embedded system, integrated modeling method, ESMEAT