A Measure of Systems Engineering Effectiveness in Acquisition of Complex Information Systems: A Bayesian Belief Network Approach

Author

Doskey, Steven ; Mazzuchi, Thomas ; Sarkani, Shahram

Author_Institution

MITRE Corp., McLean, VA, USA

Volume

9

Issue

2

fYear

2015

fDate

Jun-15

Firstpage

442

Lastpage

450

Abstract

In this paper, the authors present an innovative means of gauging systems engineering (SE) effectiveness. This paper describes the development of a SE relative effectiveness index model that can be used to identify and analyze SE patterns and subsequently predict possible areas of SE performance risk in the acquisition and deployment of complex information systems. The approach employs a Bayesian belief network to model causal relationships in SE activities that can be used to assess SE performance in projects and organizations.

Keywords

Bayes methods; belief networks; data analysis; information systems; Bayesian belief network approach; SE patterns; complex information system acquisition; data analysis; systems engineering effectiveness; Adaptation models; Analytical models; Bayes methods; US Department of Defense; Bayesian methods; data analysis; decision making; information systems; linear discriminant analysis (LDA); model-based systems engineering (SE); pattern analysis; predictive models; systems engineering (SE) and theory; systems of systems (SoSs) engineering;

fLanguage

English

Journal_Title

Systems Journal, IEEE

Publisher

ieee

ISSN

1932-8184

Type

jour

DOI

10.1109/JSYST.2014.2321232

Filename

6819416