JOURNAL ARTICLE

Model-driven systems engineering for netcentric system of systems with DEVS unified process

Saurabh MittalJosé L. Risco‐Martín

Year: 2013 Journal:   2013 Winter Simulations Conference (WSC) Pages: 1140-1151

Abstract

Model-Based Systems Engineering (MBSE) employs model-based technologies and established systems engineering practices. Model-Driven Engineering (MDE) provides various concepts to automate model based practices using metamodeling. We describe the DEVS Unified Process (DUNIP) that aims to bring together MBSE and MDE as Model-driven Systems Engineering (MDSE) and apply it in a netcentric environment. We historically look at various model-based and model-driven flavors and suggest MDSE/DUNIP as one of the derived methodologies. We describe essential elements in DUNIP that facilitate integration with architecture solutions like Service Oriented Architecture (SOA), Event Driven Architectures (EDA), Systems Entity Structures (SES) ontology, and frameworks like Department of Defense Architecture Framework (DoDAF 2.0). We discuss systems requirement specifications, verification and validation, metamodeling, Domain Specific Languages (DSLs), and model transformation technologies as applicable in DUNIP. In this article, we discuss the features and contributions of DUNIP in netcentric system of systems engineering.

Keywords:
Metamodeling Computer science Model-driven architecture Software engineering Systems engineering Model transformation Unified Modeling Language DEVS Process (computing) Domain (mathematical analysis) Ontology Architecture Programming language Engineering Modeling and simulation Artificial intelligence Simulation

Metrics

24
Cited By
3.83
FWCI (Field Weighted Citation Impact)
30
Refs
0.94
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Systems Engineering Methodologies and Applications
Physical Sciences →  Engineering →  Control and Systems Engineering
Model-Driven Software Engineering Techniques
Physical Sciences →  Computer Science →  Software
Simulation Techniques and Applications
Social Sciences →  Decision Sciences →  Management Science and Operations Research
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