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A data‐centric capability‐focused approach for system‐of‐systems architecture modeling and analysis
Author(s) -
Ge Bingfeng,
Hipel Keith W.,
Yang Kewei,
Chen Yingwu
Publication year - 2013
Publication title -
systems engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.474
H-Index - 50
eISSN - 1520-6858
pISSN - 1098-1241
DOI - 10.1002/sys.21253
Subject(s) - executable , computer science , database centric architecture , architecture framework , architecture , software engineering , reference architecture , systems engineering , metamodeling , data modeling , logical data model , systems architecture , data model (gis) , software architecture , engineering , programming language , artificial intelligence , visual arts , art , software
A data‐centric, capability‐focused approach is proposed to facilitate the architecture modeling and analysis of challenging system‐of‐systems (SoS). This approach abstracts essential information from the underlying complexity with the architecture modeling in a data‐centric and semantically consistent fashion, and allows early understanding and exploration of the logical, behavioral, and performance characteristics to achieve the desired capabilities. More specifically, a high‐level data meta‐model, depicting the semantic relationships of constituent architectural data elements, is first presented to guide the architectural data modeling, which is aligned well with the US Department of Defense Architecture Framework (DoDAF) Meta‐model (DM2). Then, the development of architectural descriptions and the construction of executable models are studied based on the core architectural data elements. Additionally, architecture analysis using static and executable models are discussed, including static analysis, dynamic analysis, and experimental analysis. The feasibility of the foregoing approach is demonstrated with an illustrative example. ©2013 Wiley Periodicals, Inc. Syst Eng 16: