Tutorial G

Learning MBSE with SysML   

Fees

Date

Time

Overview

Model-Based Systems Engineering (MBSE) is an approach to systems engineering and architecting that applies the use of models across a system’s lifecycle. The Systems Modeling Language (SysML) is a graphical modeling language used to represent different aspects of systems in a MBSE approach. The use of SysML models in a MBSE to enable system design, analysis, and specification continues to grow across government and industry. Consequently, there is a high demand for engineers with the appropriate skills to manage MBSE projects and develop useful system models. This course is intended to introduce fundamental concepts of MBSE and introduce participants to the Systems Modeling Language (SysML). Features of the SysML will be reinforced with hands-on exercises on examples in space mission systems. Participants will leave this course with a general awareness of MBSE and SysML, and the ability to read, interpret, and build simple models with basic SysML notation. 

 Presentation Outline: 

• • MBSE Introduction and Overview 
  • Fundamental Concepts of Modeling 
  • Introduction to SysML

• • • Model Organization and Packages 
    •  Use Case Diagrams
    •  Requirements Diagrams
    • Block Definition Diagrams  
    •  Internal Block Definition Diagrams  
    • Activity Diagrams
    • o State Machine Diagrams
    • o Sequence Diagrams
    • o Parametrics  

• • Space Mission System Example Use of Multiple Diagrams and Model Elements

Biographies

Fredda Lerner As a systems of systems (SoS) engineer, Ms. Lerner is focused on systems development, engineering, integration, and lifecycle management in the context of and used for digital engineering (DE). Ms. Lerner has long been a DE practitioner and evangelist: 7 years ago, she was an integral part of the team that simulated one of the first successful DE ecosystems that interconnected disparate authoritative source of truth (ASOT) data sources through models at a US government agency. Ms. Lerner supports, develops, leads, and enables US Department of When completed, submit to gsaw@aero.org Revised 10/12/21 GSAW Tutorial Proposal GSAW Use Only: T-001 Defense, Intelligence Agencies, and other federal agencies to include NASA and NOAA, to cost effectively and efficiently develop, plan, implement, and transition their systems into the DE paradigm. Ms. Lerner received a Bachelor of Mechanical Engineering from Georgia Tech. In the 40+ years since then, Ms. Lerner has held mechanical, manufacturing, systems engineering, and program management positions of increasing authority and scope for leading private sector corporations, most of which were in support of US government programs. Recently, Ms. Lerner was a chapter co-author of Emerging Trends in Systems Engineering Leadership, published in 2022.

Dr. Scott Schnee  has led and supported a wide range of space and ground architecture trade studies over the last decade, bringing together teams to assess performance, estimate lifecycle cost, and set requirements. He primarily supports NOAA/NESDIS and NASA/GSFC with occasional support to other agencies. Dr. Schnee’s current efforts are primarily focused on the definition and development of the ground enterprise for NOAA’s Space Weather Next program. Dr. Schnee holds a Ph.D. and Masters in Astronomy from Harvard University and a Bachelor of Arts in Astrophysics from Columbia University.

Mary Covert has been developing unique, customized cost models for myriad estimating purposes and milestones for over 20 years. Known as “the estimator of odd things”, her area of expertise is cost estimating challenges that require specialized analyses. She has developed custom ground cost models for NOAA/NESDIS, USGS Landsat, Intelligence Agencies, NSF, NASA, and others, ranging from iROMs and ICEs for programs, to architectural trade studies at the enterprise level. Ms. Covert holds a triple major Bachelor of Science degree from the University of Miami, and a Master’s Degree in Economic Geography from Florida Atlantic University.

Rachel Trevenna has led key elements of The Aerospace Corporation’s digital transformation as well as support several government entities in their own digital transformation. She is leading a set of teams to develop digital engineering environment pathfinders and prototypes for Aerospace and government customers. She is also leading the development of data management processes and guidance that will be utilized and implemented in Aerospace and government data management platforms. Ms. Trevenna holds a Bachelor of Science in aerospace engineering and a master’s degree in systems engineering from Embry-Riddle Aeronautical University.

Description of Intended Audience and Recommended Prerequisites

What can Attendees Expect to Learn