The US Department of Defense (DoD) Architecture Framework has its roots in the C4ISR ARchitecture Framework developed by the C4ISR Task Force was initially released at version 1.0 in August 2003 and approved by the DoD in February 2004.

It is the forerunner of the UK MoD’s MODAF (which in turn has led to TRAK), the NATO Architecture Framework, Canada’s CNDAF amongst others. A comparison of the frameworks is provided separately.

The DODAF is organised into 8 viewpoints, each of which contains several architecture models. There are 52 architecture models in DODAF. The underlying metamodel that defines the allowed object types (stereotypes) and relationships is known as the DM2 (Dodaf Meta-Model).

The current version is DODAF 2.02.


There are 3 documents (similar structure to DODAF 1.5):

DoDAF 2.0 Volume 1 – Introduction, Overview, and Concepts. Manager’s Guide.

(Primary audience: Executives, Project Directors, & Managers)

Volume 1 introduces DoD architecture concepts and provides general guidance for development, use, and management of DoD architectures. This volume is intended to help non-technical users understand the role of architecture in support of major decision support processes. Volume 1 provides a 6-step methodology (Section 7) that can be used to develop architectures at all levels of the Department, and a CDM (Section 9) for organizing data and derived information collected by an architecture effort.

DODAF 2.0 Volume 2: Architectural Data and Models. Architect’s Guide

(Primary Audience: architects, program managers, portfolio managers, and other technically oriented architecture users)

Volume 2 describes the Meta-model data groups, and their associated models, introduced in Volume 1, from a technical viewpoint.

DODAF 2.0 Volume 3: DoDAF Meta-model. Physical Exchange Specification. Developer’s Guide

Volume 3 introduce a PES that relates the CDM structure, LDM relationships, associations, and business rules as described in Volume 2, The PES provides the constructs needed to enable exchange of data and derived information among users and COIs.







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