Model-based Systems Engineering

Model-based Systems Engineering

Solutions for flexible engineering of cyber-physical systems

Model-based Systems Engineering

The Model-based Systems Engineering (MBSE) competence field investigates new methods, languages and tools that can be used to efficiently develop, validate, and maintain reliable cyber-physical systems. In order to ensure that new system functions are continuously brought to market rapidly despite complex requirements, we rely on meaningful models to support and validate decisions in the early phases of development and to implement them automatically.

Motivation

Cyber-physical systems are characterized by complex and highly interacting requirements, functions, and subsystems. The interaction of these mainly software-defined products, such as cars or airplanes, with other systems and with our physical world leads to a high level of complexity and places high demands on their safety, reliability, and performance. Due to continuous functional enhancements, bug fixes, security updates and adaptations to new system contexts (e.g., for data-based components), system development extends over the entire product life cycle, which leads to a further level of challenges.

Research focus

In the Model-based Systems Engineering competence field, we therefore develop innovative modeling approaches, methods, and tools for the continuous development of cyber-physical systems. Our research focuses on (semi-)automatic model-based methods in the following key areas:

  • Analysis and optimization of system architectures
  • Simulation-based testing at system level
  • Structured reuse and product line development
  • Analysis and management of model quality and consistency

To ensure practical relevance and industrial applicability, we evaluate our domain-independent research results primarily in the automotive, aviation and industrial automation domains.

Services

Our offer is aimed at small, medium-sized, and large companies in the supply chain of cyber-physical systems (e.g., suppliers, system integrators, OEMs) as well as providers of engineering tools. It includes in particular:

  • Application-oriented research on model-based processes for the continuous engineering of cyber-physical systems (e.g., collaborative research at state, federal or EU level or directly contracted)
  • Development of modeling approaches, methodologies and tool prototypes based on advanced methods (e.g., formal methods, simulation, data-based analyses) and standards (e.g. SysML, FMI)
  • Access to the fortiss Mobility Lab, which makes our approaches tangible using a realistic automotive use case based on fortiss open-source solutions
  • Prototyping and scientific evaluation of customized innovative approaches (e.g., tool prototypes, use cases, testbeds)
  • Training offers for industrial users, e.g., hands-on training on MBSE basics and selected advanced topics, as well as webinars and seminars in the area of our research focus

Further information

Whitepaper Advanced System Engineering
Advanced Systems
Engineering
The systems of the future
Whitepaper Model-based Systems Engineering
A practical introduction
to Model-based Systems
Engineering
Procedure and lessons learnt
 Simon Barner

Your contact

Simon Barner

+49 89 3603522 22
barner@fortiss.org

 Andreas Bayha

Your contact

Andreas Bayha

+49 89 3603522 556
bayha@fortiss.org

Projects

Publications