Institute of Software Engineering and Programming Languages

Research

Our research covers many aspects of software engineering and programming languages. In particular, we focus on domain-specific languages, software configuration, and constraint programming. We employ formalized theories, develop open-source tools, and apply empirical research methods.

Overview of our research topics

Teaching

The institute represents the areas software engineering and programming languages in the bachelor and master programs of computer science and related fields. We offer the following mandatory courses in the Bachelor's program:

  • Interactive Systems Programming
  • Software Engineering
  • Software Project

Furthermore, we are responsible for the bachelor and master program Software Engineering.

Overview of the courses in the bachelor and master programs

 

Contact & Directions

Institute of Software Engineering and Programming Languages

Ulm University
James-Franck-Ring
D-89069 Ulm
Building O27, Level 4
Phone: +49 (0)731 / 50 - 24161

Directions

 

Newest publications

2021

592.
Pett, Tobias; Krieter, Sebastian; Runge, Tobias; Thüm, Thomas; Lochau, Malte; Schaefer, Ina
Stability of Product-Line Sampling in Continuous Integration
Proc. Int'l Working Conf. on Variability Modelling of Software-Intensive Systems (VaMoS)
Publisher: ACM, New York, NY, USA
February 2021
DOI:10.1145/3442391.3442410
ISBN:9781450388245
File:pdfhttps://github.com/SoftVarE-Group/Papers/raw/main/2021/2021-VaMoS-Pett.pdf
591.
Runge, Tobias; Schaefer, Ina; Cleophas, Loek; Thüm, Thomas; Kourie, Derrick; Watson, Bruce W.
Tool Support for Correctness-by-Construction (Extended Abstract)
Proc. Software Engineering (SE), Page 93-94
Publisher: Gesellschaft für Informatik, Bonn, Germany
February 2021
DOI:10.18420/SE2021_34
File:pdfhttps://github.com/SoftVarE-Group/Papers/raw/main/2021/2021-SE-Runge.pdf
590.
Groner, Raffaela; Juhnke, Katharina; Götz, Stefan; Tichy, Matthias; Becker, Steffen; Vijayshree, Vijayshree; Frank, Sebastian
A Survey on the Relevance of the Performance of Model Transformations
Journal of Object Technology
2021
DOI:10.5381/jot.2021.20.2.a5
589.
Juhnke, Katharina; Nikic, Alexander; Tichy, Matthias
Clustering Natural Language Test Case Instructions as Input for Deriving Automotive Testing DSLs
Journal of Object Technology (JOT), 20 (3), 5 :1-14
June 2021
DOI:10.5381/jot.2021.20.3.a5
588.
Juhnke, Katharina
Improving the Quality of Automotive Test Case Specifications
Ulm University, Germany
März 2021
DOI:10.18725/OPARU-35558