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CS 561 — Model-driven Software Development
(dt. Modellgetriebene Softwareentwicklung)

Level, degree of commitment Specialization module, depends on importing study program
Forms of teaching and learning,
Lecture (4 SWS), recitation class (2 SWS),
270 hours (90 h attendance, 180 h private study)
Credit points,
formal requirements
9 CP
Course requirement(s): Successful completion of at least 50 percent of the points from the weekly exercises as well as at least 2 presentations of the tasks.
Examination type: Oral examination (individual examination) or written examination
The grading is done with 0 to 15 points according to the examination regulations for the degree program M.Sc. Computer Science.
Subject, Origin Computer Science, M.Sc. Computer Science
One semester,
each winter semester
Person in charge of the module's outline Prof. Dr. Gabriele Taentzer


Model-driven software development means modeling software at a higher level of abstraction using a domain-specific language. The code is generated automatically to a large extent. By this way, software development can be greatly accelerated and simplified. In addition to the applications of existing domain-specific languages and code generators, techniques and tools are presented for developing new languages and generators.

Qualification Goals

Students will

  • Understand the paradigm of model-driven software development,
  • can model and develop application software in a model-driven manner,
  • have knowledge of the core concepts and techniques of model-driven development,
  • understand the possibilities and limitations of model-driven software development,
  • have a basic understanding of the tools presented in the course and their practical application,
  • are able to apply scientific working methods when independently identifying, formulating and solving problems,
  • are able to speak freely about scientific content, both in front of an audience and in a discussion.


None. The competences taught in the following modules are recommended: Object-oriented Programming, either Algorithms and Data Structures or Practical Informatics II: Data Structures and Algorithms for Pre-Service-Teachers, System Software and Computer Communication, Software Engineering, either Software Lab or Software Lab for Business Informatics.

Recommended Reading

  • Will be announced in the module announcement.

Please note:

This page describes a module according to the latest valid module guide in Winter semester 2023/24. Most rules valid for a module are not covered by the examination regulations and can therefore be updated on a semesterly basis. The following versions are available in the online module guide:

The module guide contains all modules, independent of the current event offer. Please compare the current course catalogue in Marvin.

The information in this online module guide was created automatically. Legally binding is only the information in the examination regulations (Prüfungsordnung). If you notice any discrepancies or errors, we would be grateful for any advice.