Project Groups


Project Description

Jarvis4MBSE is a tool for Model-based Systems Engineering (MBSE) developed in a continuous project group of students from the University of Paderborn. It combines modern visualization techniques and current methods in the field of artificial intelligence to support engineers through intuitive user interaction and a built-in MBSE wizard. The current version of Jarvis4MBSE consists of the following components:

Stores formalized system models & performs model transformations


  • Interactive 3d system interface for system design
  • Interactive GUI for 2D representation & design of system models

Augmented Reality
Intuitive 3D visualization of the models

MBSE Assistant
Built-in wizard for knowledge extraction and automation of development activities
Desired previous knowledge

Desired Previous Knowledge

  • Good programming skills
  • Prior knowledge in the areas of modeling and modeling languages (e.g. UML, SysML)
  • Interest in Systems Engineering and Model-based Systems Engineering
  • Interdisciplinary and Analytical Thinking

Lerning Objectives

  • Practical experience in software specification and software development
  • Practical experience in Systems Engineering and Model-based Systems Engineering
  • Expertise in modern concepts of user interaction and artificial intelligence
  • Project management, presentation skills and teamwork


Further information can be found on our website:


March 29, 2019: The project group Jarvis4MBSE I was successfully completed. The result is a first prototype and a series of user stories for the next project groups.

April 8, 2019: Jarvis4MBSE II started with 17 participants.

Digital tools for strategic planning (doorstep)


Within strategic product planning, there are several main tasks, such as determination of potentials, product discovering or business planning. Behind these tasks, in turn, are various subtasks, such as foresight and generation planning. The project DizRuPt can be located there. Here an instrument for the data-driven product planning is developed, which e.g. includes methods for hypothesis, data inventory and data analysis. But further-reaching topics such as the identification of trends and technologies or business forecasts in the context of foresight and business planning are conceivable. The aim of the project group is to identify and specify potential tools that support these tasks. Subsequently, a promising concept should be implemented. Assistants, documentation tools, games etc. are conceivable. In addition to an appealing UI, e. g. AI, Data Mining techniques and mobile technologies could be used.

Learning Outcome

  • Methods of (data-driven) Product Planning
  • Project Management
  • Software Specification and Programming
  • Presentation and Team Work

Course Details

See introduction slides (PDF)


  • Maximilan Frank
  • Melina Massmann
  • Maurice Meyer


We meet every Wednesday from 2 p.m. till 4 p.m. (Room: F0.225).

7 Oct 2019, 10 a.m.: Kick off (Room: F0.225)



Artificial Intelligence for Systems Engineering

Artificial Intelligence for Systems Engineering


In the scope of this project group, we will develop AI-based assistance systems to support engineers during the design and development of technical systems. To this end, we will analyze the product creation process with a focus on (Model-based) Systems Engineering, identify potentials for the utilization of Artificial Intelligence and develop prototypes for the most promising ideas. This project group will be based on the results of the prior project group Jarvis4MBSE [1] and be conducted in close collaboration with the research project KI-Marktplatz (engl.: AI marketplace) [2]. Examples for AI-based assistant systems are:

The touch-based editor is able to understand hand-drawn system models and translate them into formal models, which, for example, are used for as input for system analyses.


The MBSE (Model-based Systems Engineering) Knowledge Graph builds up a knowledge graph from given MBSE models and uses this graph to provide suggestions for the creation of
new system models.

The virtual Systems Engineering expert is a chat-bot tailored towards Systems Engineering. It provides expert knowledge to the engineers and can handle engineering-specific requests.


See introduction slides (PDF[RB1] )