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

Level, degree of commitment Specialization module, compulsory elective module
Forms of teaching and learning,
workload		 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
Language,
Grading		 English,
The grading is done with 0 to 15 points according to the examination regulations for the degree program M.Sc. Computer Science.
Duration,
frequency		 One semester,
each winter semester
Person in charge of the module's outline Prof. Dr. Gabriele Taentzer

Contents

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

Translation is missing, sorry. German original:

Die Studierenden

  • können das Paradigma der modellgetriebenen Softwareentwicklung erklären,
  • können modellieren und Anwendungssoftware modellgetrieben entwickeln,
  • können Kernkonzepte und Techniken der modellgetriebenen Entwicklung erläutern,
  • können die Möglichkeiten und Grenzen der modellgetriebenen Softwareentwicklung diskutieren,
  • haben ein Grundverständnis für die in der Lehrveranstaltung vorgestellten Werkzeuge und deren praktische Anwendung,
  • sind in der Lage, wissenschaftliche Arbeitsweisen beim eigenständigen Erkennen, Formulieren und Lösen von Problemen anzuwenden,
  • sind in der Lage, über wissenschaftliche Inhalte frei zu sprechen, sowohl vor einem Publikum als auch in einer Diskussion.

Prerequisites

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


Applicability

Module imported from M.Sc. Computer Science.

It can be attended at FB12 in study program(s)

  • B.Sc. Computer Science
  • M.Sc. Data Science
  • M.Sc. Computer Science
  • M.Sc. Mathematics
  • M.Sc. Business Informatics
  • M.Sc. Business Mathematics
  • LAaG Computer Science

When studying M.Sc. Mathematics, this module can be attended in the study area Profile Area Computer Science.


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 2025/26. 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.