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EngineeringHub: A Trusted Collaborative Framework for Model Based Engineering Sharing

Award Information
Agency: National Aeronautics and Space Administration
Branch: N/A
Contract: 80NSSC19C0429
Agency Tracking Number: 193336
Amount: $124,991.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: S5
Solicitation Number: SBIR_19_P1
Solicitation Year: 2019
Award Year: 2019
Award Start Date (Proposal Award Date): 2019-08-19
Award End Date (Contract End Date): 2020-02-18
Small Business Information
1715 Pratt Drive, Suite 2000
Blacksburg, VA 24060-6472
United States
DUNS: 938911427
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Andy Ko
 (540) 961-7215
Business Contact
 Robin Campbell
Phone: (540) 961-7215
Research Institution

In recent years, industry and government have begun adopting Model Based Engineering (MBE) practices in an unprecedented way. No longer exclusively the domain of isolated experts, MBE has been implemented across the full product lifecycle. This success is, however, giving rise to new challenges. The ability to share disparate models across teams, organizational boundaries, and among communities of practice is important for collaboration on complex projects. Model reuse is important because it minimizes the need to ldquo;re-invent the wheelrdquo; for each new project or initiative. Finally, the need to rapidly integrate disparate models together is critical for accurate evaluation of multidisciplinary systems and for evaluating different system/mission concepts and architectural variants. Phoenix Integration proposes to address these challenges by developing an analysis model sharing platform similar to GitHub, a successful software development collaboration system. This platform will be easy-to-use, web-based, and built on the Git version control system. Modifications will be made to tailor the Git repository system to version control analysis models and workflows. This model-sharing platform will have provision for documentation, tags and metadata, which includes a software dependencies list and supported OS. Shared analyses and workflows would be easily run in ModelCenterreg; and Jupyter notebooks. It will rely on cloud computing resources with on-demand provisioning and execute the analyses and workflows on them when requested. Additionally, published analyses and workflows would be verified automatically whenever supporting software versions change.

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

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