The Carnegie Mellon University Software Engineering Institute (SEI) was
involved in an Architecture-Centric Virtual Integration Practice (ACVIP)
shadow project for the Aviation and Missile Research, Development, and
Engineering Center Science & Technology Joint Multi-role program in
the Joint Common Architecture (JCA) Technology Demonstration. The JCA
Demo used the Modular Integrated Survivability (MIS) system, which
provided a situational awareness service that will be integrated with
two instances of a Data Correlation and Fusion Manager (DCFM) software
component, which has been contracted to two suppliers. The purpose of
the ACVIP shadow project was to demonstrate the value of using ACVIP
technology, in particular the architecture models expressed in the SAE
Architecture Analysis & Design Language (AADL) standard, for
discovering potential system integration problems early in the
development process. To do this, the SEI first captured information from
existing requirements documents in AADL and the draft Requirement
Definition & Analysis Language Annex. Then, by using an
architecture-led approach to capturing requirements and architecture
specification, the SEI team quickly identified a number of issues that,
if not addressed, could result in system integration problems between
MIS and DCFM. The SEI’s findings allowed contractor teams to address
these issues early in system development.
History
Publisher Statement
This material is based upon work funded and supported by the Department of Defense under Contract No. FA8702-15-D-0002 with Carnegie Mellon University for the operation of the Software Engineering Institute, a federally funded research and development center. The view, opinions, and/or findings contained in this material are those of the author(s) and should not be construed as an official Government position, policy, or decision, unless designated by other documentation. References herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise, does not necessarily constitute or imply its endorsement, recommendation, or favoring by Carnegie Mellon University or its Software Engineering Institute.
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