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.

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