A Study of MBSE Through the Development of Modeling and Data Exchange Processes

Abstract

The DoN is undergoing a digital transformation that is set to address the needs of sustaining fleet assets for extended periods of time, while maintaining a superior lethality. Within the engineering domain, the DoN is starting to identify MBSE tools and concepts to streamline processes and enhance capability. The capstone looked to lay the foundation for a conceptual system model development process that utilizes SysML and OOSEM to produce system model data and artifacts derived from a single scenario. During the digital transformation, communication of system model data to stakeholders was identified as a need and a SysML tool was used to generate model-based documentation from a formatted Microsoft Word document. With incoming digital product support capabilities from the MBPS program, communication from an MBSE environment is critical and requires XML formatted data. Using the information collected in the completion of the scenario, it was discovered that SysML elements will lose their SE-specific stereotypes when converted directly into XML format. To counter this the capstone developed UML instances derived from the S3000L UML class-based data model to be converted into XML format. The findings and developments of this capstone support the ability for organizations to standardize the way system modeling data is developed, collected, and communicated to other systems external to the engineering domain.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2020
Accession Number
AD1126880

Entities

People

  • Dustin G. Talley
  • Lance Lowenberg
  • Lynn P. Nguyen
  • Michael H. Rubow
  • Ryan C. Robar
  • William Emeny

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Biomedical
  • Cyber
  • Engineered Resilient Systems
  • Ground and Sea Platforms
  • Space

DTIC Thesaurus Topics

  • Aerospace Industry
  • Complex Systems
  • Computers
  • Configuration Management
  • Data Analysis
  • Databases
  • Defense Industry
  • Department Of Defense
  • Digital Engineering
  • Digital Twins
  • Engineering
  • Engineers
  • Failure Mode And Effect Analysis
  • Information Systems
  • Logistics
  • Maintenance
  • Maintenance Management
  • Model Based Systems Engineering
  • Standards
  • System Of Systems
  • Systems Engineering
  • Systems Modeling Language
  • Test And Evaluation

Fields of Study

  • Computer science

Readers

  • Database Systems and Applications
  • Organizational Process Management (OPM).
  • Software Engineering.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy