A framework for information systems architecture
IBM Systems Journal
Operations Research
Decision analysis: practice and promise
Management Science
Probabilistic inference and influence diagrams
Operations Research
The Purdue Enterprise Reference Architecture
Computers in Industry - Special issue on CIM architectures
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UML distilled: applying the standard object modeling language
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Bayesian Networks and Decision Graphs
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Information Systems Frontiers
Learning Bayesian Networks
Decision Analysis
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Proceedings of the 10th international conference on Electronic commerce
Data Collection Prioritization for System Quality Analysis
Electronic Notes in Theoretical Computer Science (ENTCS)
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Service-Oriented Computing --- ICSOC 2008 Workshops
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SpringSim '09 Proceedings of the 2009 Spring Simulation Multiconference
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EDOC'09 Proceedings of the 13th IEEE international conference on Enterprise Distributed Object Computing
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EDOC'09 Proceedings of the 13th IEEE international conference on Enterprise Distributed Object Computing
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Architecture analysis of enterprise systems modifiability - Models, analysis, and validation
Journal of Systems and Software
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Journal of Systems and Software
LEAP: a precise lightweight framework for enterprise architecture
Proceedings of the 4th India Software Engineering Conference
Enterprise architecture patterns for business process support analysis
Journal of Systems and Software
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The discipline of enterprise architecture advocates the use of models to support decision-making on enterprise-wide information system issues. In order to provide such support, enterprise architecture models should be amenable to analyses of various properties, as e.g. the level of enterprise information security. This paper proposes the use of a formal language to support such analysis. Such a language needs to be able to represent causal relations between, and definitions of, various concepts as well as uncertainty with respect to both concepts and relations. To support decision making properly, the language must also allow the representation of goals and decision alternatives. This paper evaluates a number of languages with respect to these requirements, and selects influence diagrams for further consideration. The influence diagrams are then extended to fully satisfy the requirements. The syntax and semantics of the extended influence diagrams are detailed in the paper, and their use is demonstrated in an example.