James R. Enos
As part of the Joint Capability Integration and Development System (JCIDS) process, the Department of Defense (DoD) requires DoD Architecture Framework (DoDAF) compliant architectures be submitted with the various capability documents. Although the architectural data is stored in a central repository, the DoD has not been able to take advantage of this data to build an enterprise level capability architecture, reuse architectural data from previous capabilities, or conduct data driven architectural analysis on the impact a capability has to the overall enterprise architecture. Previous work has validated this shortfall and recommended potential methods for aggregating DoDAF architectures; however, none have been able to accomplish this task to date. With advanced in system architecture tools and computing power, analysts are able to consolidate and analyze massive amounts of data. This capability is essential for developing a joint capability enterprise architecture that aggregates multiple DoDAF architecture products. This paper presents an initial methodology for integrating multiple DoDAF architectures across the DoD to develop an enterprise level architecture. It leverages several previous efforts that have described potential methodologies for aggregating architectures, managing portfolios of architectures, and analyzing systems of systems. Additionally, it takes advantage of the DoDAF meta-model and data standards to automate the aggregation of the DoDAF compliant architectures in order to capture the enterprise architecture. This paper presents potential applications of network analysis techniques and methods to identify risks to the enterprise, opportunities to improve the robustness of the enterprise, and potential redundancies in capabilities.