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A Practical Model Based Engineering Capability for Integrating Architecture Design, Analysis, and Verification of Large Scale Complex Systems

Award Information
Agency: Department of Defense
Branch: Defense Advanced Research Projects Agency
Contract: W31P4Q-12-C-0049
Agency Tracking Number: 10SB2-0267
Amount: $2,059,469.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: SB102-005
Solicitation Number: 2010.2
Solicitation Year: 2010
Award Year: 2011
Award Start Date (Proposal Award Date): 2011-12-15
Award End Date (Contract End Date): 2015-03-15
Small Business Information
1715 Pratt Drive Suite 2000
Blacksburg, VA -
United States
DUNS: 938911427
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Peter Menegay
 Sr. Research Engineer
 (540) 961-7215
Business Contact
 Robin Campbell
Title: Controller
Phone: (540) 961-7215
Research Institution

In the defense industry today, high level SysML system models are used by engineers beginning early in the design process to functionally decompose the system being designed and to flow down requirements to sub-systems and components. Despite their usefulness, these system models are by and large descriptive models and not analytical (executable) models. In contrast, domain level engineers (structural engineers, software engineers, aerodynamicists, manufacturing engineers, cost analysts, etc.) routinely use a wide variety of sophisticated engineering analysis tools to analyze and design the subsystems and components that define the system. Unfortunately, these analysis tools are disconnected from the system model, and can"t easily be used to predict performance or make important system level trade-offs. In this project, an integrated toolset will be developed that bridges the gap between systems modeling languages such SysML and commonly used engineering analysis tools. This will enable the performance of architectural, performance, manufacturability, cost, and risk trade-off studies very early in the design process where impacts on lifecycle costs are the greatest. It will also allow the design team to rapidly respond to inevitable changes in requirements and give them the ability to perform continuous analysis, simulation, and trade-studies throughout the design process.

* Information listed above is at the time of submission. *

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