Working Group

Model-Driven Systems Engineering

Engineering software for modern systems of systems demands integrating solutions from multiple domains. The successful deployment of automated vehicles, mobile robots or the smart cyber-physical production systems of Industry 4.0 is impossible without integrating the modules developed by participating domain experts. As each domain features their own specific and optimized methods, tools, and languages, their successful integration is a crucial prerequisite for engineering future's systems of systems.

Model-driven engineering reduces the conceptual gap between the problem domains (such as navigation, grasping, or business process description) domains and the solution domains (programming) of discourse. Modeling languages enables domain experts to describe solutions without facing the accidental complexities and idiosyncrasies of programming languages. For instance, employing an optimized modeling language to describe robotic assembly tasks such as LightRocks liberates the assembly expert from handling pointers, exceptions, or networking otherwise encountered when programming the tasks using general-purpose programming languages (such as C++ or Java) instead. Smart model transformations and code generators embody such programming expertise and can ensure that translation of domain-specific models conforms to state-of-the-art software engineering practices.

Research Questions

  • What are the software languages required for efficient systems engineering with domain experts? How are these engineered, integrated, and reused? How does this translate to modeling tools, analyses, transformations, and code generators?
  • What are the theoretical foundations of systems engineering language integration and how can we exploit these to enable language components that support off-the-shelf reuse?
  • How can we modularize language processing tooling along the language integration degrees of freedom to easily reusing the same tooling with different language combinations?
  • How can we leverage architecture description languages to facilitate the separation of concerns required for efficient language integration and reuse?

Team Members

Currently, the model-driven systems engineering working group consists of:

Dr. Andreas Wortmann
(team leader)

Arvid Butting, M.Sc.

Manuela Dalibor, M.Sc.

Nico Jansen, M.Sc.

Jörg Christian Kirchhof, M.Sc.

David Schmalzing, M.Sc.


Our research activities and their results influence the courses we offer. In the past, research in model-driven engineering, software language engineering, and their application to robotics manifested in project classes and seminars:

Additionally, we always have ideas for interesting Bachelor and Master theses in this context. Currently, we're looking for students willing to investigate the following research challenges.

  • Formal systems engineering with the focus framework
  • Software architecture variability and design time and at run time
  • Reusable software language components
  • Bridging the gap between different technological spaces of metamodeling

Research Partners

In ongoing and successfully finished resarch projects, we have collaborated with various partners from industry and academy, including:


Our research manifests in project results with large and small partners from industry and research, as well as in our publications. We've arranged our publications by topic for your convenience below:


Modeling Languages

Application Domains

Our Most Important Software Tools