Title :
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
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;
Journal_Title :
Systems Journal, IEEE
DOI :
10.1109/JSYST.2014.2321232
