By David Allen Blubaugh, Systems & MBSE Researcher at the University of Dayton
Systems engineering is undergoing a major digital shift as organizations move from document-centric methods to model-based systems engineering (MBSE) approaches that span the full system lifecycle, from systems of systems to individual components. This transition enables automation, stronger configuration management across the digital thread, and the systematic reuse of model patterns, reducing risk while accelerating development and change.
At its core, MBSE replaces static documents with dynamic, analyzable models that act as authoritative sources of system intent and support continuous reasoning about architecture, behavior, requirements, and verification, allowing teams to better manage complexity, uncertainty, and evolving stakeholder needs.
Since its adoption in 2006, the Systems Modeling Language (SysML) has been central to this shift. SysML v1.x, most recently v1.7, released in 2022, significantly expanded MBSE adoption across industry and government, but years of practical use exposed structural limitations, such as uneven semantics, inconsistent terminology, and a heavy reliance on Unified Modeling Language (UML) constructs originally designed for software modeling. SysML v2 addresses these challenges by introducing a next-generation systems modeling language purpose-built for modern digital engineering.
Current SysML V2 status
At the Object Management Group (OMG) meeting in Orlando in June 2023, SysML v2 co-leads Sanford Friedenthal and Ed Seidewitz presented the language’s status and development path. By the end of 2023, SysML v2 had advanced from early alpha submissions through task-force review to released beta specifications, with final specifications targeted for 21 July 2025.
A key milestone has been the continuous use of an open-source pilot implementation during specification development, supporting SysML v2’s textual syntax and execution semantics, while early graphical views have been produced using prototype visualization tools based on PlantUML and draw.io, with an architecture designed to support future commercial-grade tools offering higher-fidelity visualization and user experience.