Model Based System Engineering (MBSE)

Model-based systems engineering (MBSE) replaces a pile of disconnected documents and drawings with a single connected model of the system, from which diagrams, tables and reports are generated as views. Done well, it makes requirements, structure, behaviour and verification traceable to one another and keeps them consistent as the design changes.

This hub is for engineers evaluating MBSE, teams part-way through adopting it and practitioners working in SysML. It covers what MBSE is and how to implement it without the usual pitfalls, the SysML v1 and v2 languages and methods such as OOSEM and Harmony, how to choose modelling tools, and the wider digital engineering picture: the digital thread, digital twins, executable models and AI co-pilots for modelling.

Start here

  • What is MBSE? — MBSE explained, with Cameo, Capella, Sparx EA and Rhapsody compared side by side
  • MBSE vs drawing tools — why diagrams as views of one connected model beat Visio-style drawings
  • SysML diagrams — the nine SysML diagram types explained in a table, plus SysML vs UML
  • Implementing MBSE — the tools, training, processes and culture change needed to make MBSE stick

MBSE in practice

How MBSE is used on real programmes, and where to go to learn it properly.

SysML and MBSE methods

The modelling language and the methods that tell you what to model, in what order.

  • SysML v2: what’s new — the KerML foundation, textual notation, diagrams and standard API, and why they matter
  • SysML v1 vs SysML v2 — a side-by-side comparison with clear guidance on whether and when to migrate
  • OOSEM and MBSE — what the Object-Oriented Systems Engineering Method is and where its SysML-based approach helps
  • The Harmony process — an overview of the Harmony MBSE method: requirements analysis, functional analysis and design synthesis

Choosing MBSE tools

Tool choice shapes how a team models, so these guides compare options and selection criteria.

Digital thread, digital engineering and AI

MBSE is the backbone of wider digital engineering, where models, data and simulation connect across the lifecycle.

Related hubs: systems engineering, requirements engineering. See also: INCOSE SE Vision 2035, requirements traceability matrix.