Structural Modeling Framework

E-ISSN： 2334-5837|25|1|1055-1069

ISSN： 2334-5837

Source： INCOSE International Symposium, Vol.25, Iss.1, 2015-10, pp. : 1055-1069

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Abstract

The ability to effectively and efficiently identify, model and communicate information about systems is becoming more valuable. Given an unstructured context populated with unknown and/or poorly understood systems, the application of structural modeling techniques will assist in the identification of unknown systems as well as the proper structuring of these systems. The authors expand John N Warfield's structural modeling techniques to include a well‐defined, structural integration modeling process. The primary contribution of structural integration modeling is to align basic structural modeling with interpretive structural modeling. This paper provides an overview of the previous work of the authors in this area, establishes connections between cognitive complexity reduction and structural modeling, and presents an example application. The example application demonstrates the system concepts, methods and processes identified in this paper. References to online, open‐source computer code are included that can be used to verify and validate the presented work and are located at https://github.com/jjs0sbw/bsmp. All interested researchers are encouraged to use this code to facilitate independent verification and validation of the research presented herein.