Title :
A measure of systems engineering effectiveness in government acquisition of complex information systems
Author :
Doskey, S. ; Mazzuchi, T. ; Sarkani, S.
Author_Institution :
Dept. of Eng. Manage. & Syst. Eng., George Washington Univ., Washington, DC, USA
Abstract :
In this paper, the authors present an innovative means of gauging systems engineering effectiveness. This research uses a Bayesian Belief Network to model causal relationships present in government acquisitions of complex information systems and to create a Systems Engineering relative effectiveness index model that can be used to identify and analyze Systems Engineering patterns and subsequently predict possible areas of SE performance risk.
Keywords :
belief networks; government data processing; large-scale systems; risk management; systems engineering; Bayesian belief network; SE performance risk; causal relationship; complex information system; government acquisition; systems engineering effectiveness index model; systems engineering pattern; Adaptation models; Bayes methods; Modeling; US Department of Defense; Bayesian Belief Network; Causal Map; Engineering Processes Complex Systems; Enterprise Systems Engineering: Government Acquisition; Model-based Systems Engineering; Modeling; Risk Management; Systems Thinking; Systems-of-Systems;
Conference_Titel :
Systems Conference (SysCon), 2013 IEEE International
Conference_Location :
Orlando, FL
Print_ISBN :
978-1-4673-3107-4
DOI :
10.1109/SysCon.2013.6549873
