Model-Based Systems Engineering with Machine Learning for Test Case Generation
Award last edited on: 5/21/22

Sponsored Program
Awarding Agency
Total Award Amount
Award Phase
Solicitation Topic Code
Principal Investigator
Karen Gundy-Burlet

Company Information

Crown Consulting Inc (AKA: CCI)

1400 Key Boulevard Suite 1100
Arlington, VA 22209
   (703) 650-0663

Research Institution

North Carolina State University

Phase I

Contract Number: FA8649-21-P-0130
Start Date: 1/21/21    Completed: 7/22/21
Phase I year
Phase I Amount
In complex aerospace systems, unexpected combinations of multiple parameters can lead to surprising systemic failures. In large parameter spaces, such as for urban air mobility (UAM) applications, it can be difficult to determine which combinations of parameters were key to driving an unwanted outcome. To address these limitations, we propose developing and applying a Model-Based Systems Engineering (MBSE) solution called Identifying Parameters Leading to Requirements Violations (IPLRV) to a complex UAM aircraft model to identify the combination of boundary parameters that could lead to accidents. MBSE is an effective methodology for developing requirements, system design and performing early verification and validation of complex systems models. The proposed IPLRV is a fast, effective toolchain used to determine key parameter ranges that lead to failure of requirements for complex black-box aviation models. The four main components of the IPLRV are a Data Dictionary and Electronic Interface Control Document that enables easy substitution of system models, a GUI for simple specification of requirements and derived data, integration of a parameter learning technique which quickly prunes dimensions and drives the simulation towards key parameter ranges, and integrated graphics and simplified reporting of parameter ranges.

Phase II

Contract Number: ----------
Start Date: 00/00/00    Completed: 00/00/00
Phase II year
Phase II Amount