Abstract

As system complexity increases, a greater number of organizations are being asked to contribute architecture/design content for systems development. An essential challenge to overcome is how to ensure digital continuity in connecting system models to form Systems of Systems (SoS) models. A method is presented for SysML model federation enabling multiple contributing organizations to provide peer models for inclusion within a federation SoS model. This method builds upon previously published Systems Architecture Model (SAM) development method reinforced with automated model syntax validation, Cameo implemented style guide, and example model. Systems engineers applying this method are able to reuse constituent systems model content, from the problem and/or solution space, to describe the larger SoS behavior and structure while promoting reusability and commonality. This method is designed to permit style diversity across peer constituent models and ensure that every piece of data has an Authoritative Source of Truth (ASOT) within the federation. Multiple applicable examples within the defense industry are presented as well as real world example showing specific evidence of a measurable improvement. Systems engineering practitioners engaged in Model Based Systems Engineering (MBSE) will take away a multi-model management approach to construct SoS descriptive models in SysML in line with the DOD’s Digital Engineering (DE) Strategy.

Take-Away Key Messages

• MBSE is a valuable tool in managing the complexity of systems engineering development
• Having a well understood methodology is essential to success in MBSE
• The presented methodology is proven across a number of development programs / program offices and may serve as a repeatable approach
• Federated modeling offers the best path forward for complex SoS engineering across multiple development teams
• The power of automated model validation based in structured expressions is a differentiator for successful MBSE

Speaker

Chris Swickline serves as a Senior Principle Digital Engineer within the Digital Systems Engineering group of Science Applications International Corporation’s (SAIC’s) Engineering Innovation Factory (EIF). The EIF works to develop and employ modern, efficient approaches that reduce risk and friction in applying emerging technologies to satisfy customer needs and ensure mission success. Within the EIF, he develops and applies Digital Engineering (DE) strategies and capabilities, with an emphasis on Model Based Systems Engineering (MBSE); across land, sea, air, space, and cyberspace domain missions. Mr. Swickline has spent the majority of his career developing multifunction systems in support Integrated Air and Missile Defense (IAMD) and Non-Kinetics (Electronic Warfare, Signals Intelligence etc.). He received his Master of Science degree from Johns Hopkins University in Systems Engineering and a Bachelor of Science degree from Penn State University in Computer Science.

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