Probabilistic reasoning in intelligent systems: networks of plausible inference
Probabilistic reasoning in intelligent systems: networks of plausible inference
Introduction to Bayesian Networks
Introduction to Bayesian Networks
ECBS '06 Proceedings of the 13th Annual IEEE International Symposium and Workshop on Engineering of Computer Based Systems
Applying the concept of patterns to systems architecture
Systems Engineering
Design Pattern Detection Using Similarity Scoring
IEEE Transactions on Software Engineering
Antipatterns in the Creation of Intelligent Systems
IEEE Intelligent Systems
IEEE Transactions on Software Engineering
Bridging patterns: An approach to bridge gaps between SE and HCI
Information and Software Technology
HICSS '10 Proceedings of the 2010 43rd Hawaii International Conference on System Sciences
The new taxonomy of systems: toward an adaptive systems engineering framework
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
A functional taxonomy of computer-based information systems
International Journal of Information Management: The Journal for Information Professionals
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In this paper, the authors describe an innovative means of identifying patterns present in systems engineering activity when government organization acquire and build complex information systems. The research uses a Bayesian belief network to model causal relationships present in government acquisitions to create a systems engineering relative effectiveness index model that can be used to identify and analyze systems engineering patterns; and subsequently forecast possible areas of performance risks within projects and organizations.