SysML v2 is the next generation systems modeling language that is intended to support the evolving practices of MBSE to deal with increasing system complexity and the need to more rapidly respond to change. SysML v2 significantly enhances precision, expressiveness, consistency, usability, interoperability, and extensibility, compared with SysML v1. It offers both textual and graphical representations that enhance system understanding. It provides a standard API with a set of services to help navigate, query, and update the model and enable interoperability across tools and models throughout the system lifecycle.

The object-oriented systems engineering method (OOSEM) leverages SysML v1 as a modeling language to provide an MBSE method to specify, architect, analyze, and verify systems. OOSEM applies a scenario-driven decomposition approach coupled with the principle of separation of concerns to develop the system model.  Adaptations of OOSEM have been applied to many projects such as the Thirty Meter Telescope (reference SEBoK Implementation Example). The method is currently being updated through a collaboration between the OMG Systems Modeling Community (SMC) and the INCOSE OOSEM Working Group to leverage the precision, expressiveness, and regularity of SysML v2. 

This presentation provides an overview of how SysML v2 is being leveraged to enhance OOSEM. In particular, SysML v2 provides very regular and precise decomposition and specialization patterns that apply to modeling requirements, structure, behavior, analysis, and verification. It provides the ability to readily adapt reusable elements to their context, and it provides the ability to specialize behavior which was very difficult in SysML v1. It also provides additional expressiveness such as variant modeling, analysis cases, and many other language constructs. These language enhancements result in more efficient modeling that lends itself to automation and improved traceability across the system model.

The design and operation of modern spacecraft are becoming increasingly complex, requiring new approaches to manage their lifecycle effectively. Starforge, a mission development architecture, addresses these challenges by integrating SysMLv2, Rule-Based design methods, and an API-first design to support the creation of flexible, software-defined spacecraft. By leveraging a mission design language, Starforge enables engineers to design, simulate, and evolve mission architectures while maintaining consistency and traceability across engineering disciplines.

The Starforge architecture decouples mission design from specific engineering tools, allowing teams to focus on solving mission-critical challenges. The architecture supports the refinement of mission fidelity through evolving models, bridging early conceptual designs with detailed simulations. Its approach ensures that design and operational decisions remain grounded in a unified framework, enhancing collaboration and adaptability throughout the spacecraft’s lifecycle.