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This entry is from Winter semester 2019/20 and might be obsolete. You can find a current equivalent here.

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,
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 or written examination
Language,
Grading
German,
The grading is done with 0 to 15 points according to the examination regulations for the degree program M.Sc. Computer Science.
Origin 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

Aim of the module:

  • Understanding the paradigm of model-driven software development,
  • Modeling and model-driven development of application software,
  • Knowledge of the core concepts and techniques of model-driven development,
  • Understanding the possibilities and limitations of model-driven software development,
  • Basic understanding of presented tools, deepened by exercises,
  • Practice of scientific working methods (recognition, formulation, solving problems, training of abstraction skills),
  • Training of oral communication skills in the exercises by practicing free speech in front of an audience and during discussion

Prerequisites

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.


Applicability

The module 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. Computer Science, this module can be attended in the study area Specialization Modules in Computer Science.

The module can also be used in other study programs (export module).

Die Wahlmöglichkeit des Moduls ist dadurch beschränkt, dass es der Praktischen Computer Science zugeordnet ist.


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 2019/20. 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.