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Developing a Verification and Validation Optimization Methodology with Uncertainty Quantification

Completed TRL 2 (started at 2, targeting 3)

Description

This research aims to develop a method and software platform for using model-based system engineering principles to increase the efficiency of a project integration and testing phase. The software will use MagicDraw to implement SysML models of a system, and interface those models with subsystem simulations, in order to automatically verify formal requirements. This tool will provide a flexible framework for project engineers to evaluate additional constraints that may arise, and explore alternative system designs. This method will be tested for efficacy in multiple space science domains. The work will advance NASA's systems engineering capabilities through case studies of a generally-applicable tool.

Benefits

The work will advance NASA's systems engineering capabilities through case studies of a generally-applicable tool.

Details

Technology areaSoftware, Modeling, Simulation, and Information Processing > Software Development, Engineering, and Integrity > Frameworks, Languages, Tools, and Standards > Simulation > Uncertainty Quantification and Nondeterministic Simulation Methods
ProgramSpace Technology Research Grants (STRG)
Lead organizationMassachusetts Institute of Technology, Cambridge, MA
Start date2023-08-01
End date2025-07-31

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