Model-Based Systems Engineering

Course length:

3 Days



Course dates

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This three day course provides an introduction to Model-Based Systems Engineering (MBSE): the practice of using a system model to streamline the process of requirements analysis, architecture, and design. Lectures on proven, state-of-the-art techniques will be reinforced with lessons learned and case studies from the instructor’s own experiences applying MBSE of major DoD acquisition programs, along with in class, live demonstrations using a popular system modeling tool (Cameo Systems Modeler™ by No Magic, Inc.) to create an example model. Students will be provided with a temporary, fully-functional tool license with which they can get hands-on experience working tutorial exercises that reinforce the lecture material.

The course is valuable to systems engineers, program managers, and anyone else interested in understanding what is required to create a system model, how to use it to support systems engineering activities on a program, and the benefits that can be realized.

What You Will Learn:

  • Practical, proven techniques for creating models using industry standard SysML, and how to use those models to support systems engineering.
  • How to use one of the most popular system modeling tools to create, verify, and validate system models.
  • Preparing for a formal design review using the model as its centerpiece.
  • Linking the SysML model to external analytical models.

Course Outline:

  1. MBSE Overview. MBSE Overview. What MBSE is and isn’t, practical benefits of MBSE.
  2. Introduction to the Systems Modeling Language (SysML). Language notation and diagrams, element types and relationships.
  3. Tool Introduction and Methodology Introduction. How to use a typical modeling tool, methodology for developing a model.
  4. Organizing Your Model. Best practices for model organization, packages, model libraries.
  5. Stakeholder Needs Analysis. Operational architecture, capabilities, measures of effectiveness, mission use cases.
  6. Systems Context Definition. Systems of systems architectures, black-box system specification.
  7. System Requirements Elicitation. System use cases, functional requirements derivation.
  8. Functional Analysis. Use case scenarios, Functional decomposition.
  9. Logical and Physical Architecture. Allocation of functions to logical elements, allocation of logical to physical elements.
  10. Parametric Analysis. Analysis contexts, Linking technical measures and system attributes, executing the analysis.
  11. Reviewing and Assessing the Design. Model verification, executing a design review.
  12. Advanced Topics in MBSE. Creating extensions to SysML, domain-specific modeling, model validation.


Sean McGervey is a Systems Engineer at the Johns Hopkins University Applied Physics Laboratory, where he has been the Architecture Lead on a Major Defense Acquisition Program (ACAT-1) for the US Navy and most recently is leading several efforts within the Systems Engineering Transformation initiative of the US Navy’s Strategic Systems Programs. Sean founded the JHU/APL MBSE Community of Practice to foster MBSE collaboration and innovation, and currently teaches three courses in MBSE at the laboratory. Prior to joining APL, Sean worked in the Systems Engineering Department at Northrop Grumman Mission Systems in Baltimore, Maryland for 15 years. While there, Sean applied MBSE on multiple ACAT-1 programs and founded the Northrop Grumman Corporate Model-Based Engineering (MBE) Community of Practice. Sean is an OMG Certified Systems Modeling Professional at the Model Builder: Advanced level and has been active in INCOSE’s MBSE Initiative.

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MBSE Is The Answer

Posted on  by Bob

Sponsors and customers want their products delivered more quickly, more cheaply, and better than ever.  Those demands are often unreasonable, but we must remain responsive to our customers, and try our best to deliver better, faster and cheaper.  I know you and your staff are already working harder than ever, and this is a lot to ask.  Perhaps the answer lies not in how hard you work, but in how smart you work.  As astutely reported by Accenture, “The solution lies in an end-to-end model-based systems engineering strategy.”  Yes, that is the answer.

Accenture tells us that model-based systems engineering (MBSE) applies digital modeling techniques throughout the product development life cycle to evaluate system requirements, design, analysis and verification and validation.  Said differently, it involves more digital modeling on computers, which is relatively cheap, and less field testing which can be quite expensive.  Although some field testing may still be prudent, the vast majority of field testing could be done more cheaply, and perhaps even more effectively, using MBSE.

Accenture also tells us the implementing MBSE can help aerospace and defense companies to increase customer and supplier collaboration, improve engineering efficiency, allow for more rapid product development iterations and drive down in-service support costs. 

Clearly, MBSE is good thing, that all industries should strive to adopt.  So, if you are not using MBSE yet, what are you waiting for.  If you need training, ATI is here to help.

To read Accenture’s full report, you can go here.


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