Paper Info
Title
A data-centric capability-focused approach for system-of-systems architecture modeling and analysis.
Abstract
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. (c) 2013 Wiley Periodicals, Inc.
Year
DOI
Venue
2013
10.1002/sys.21253
SYSTEMS ENGINEERING
Keywords
Field
DocType
system-of-systems architecture,high-level data meta-model,capability,data-centric,executable model,architecture analysis
Data architecture,Database-centric architecture,Data modeling,Department of Defense Architecture Framework,Applications architecture,Software engineering,Artificial intelligence,Systems architecture,Engineering,Enterprise architecture framework,Finance,Service-oriented modeling
Journal
Volume
Issue
ISSN
16.0
3.0
1098-1241
Citations 
PageRank 
References 
10
0.81
16
Authors
4
Name
Order
Citations
PageRank
Bingfeng Ge14611.25
K. W. Hipel2812116.70
Ke-wei Yang319322.65
Ying-wu Chen422716.61