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

476.
Sundermann, Chico; Nieke, Michael; Bittner, Paul Maximilian; Heß, Tobias; Thüm, Thomas; Schaefer, Ina
Applications of #SAT Solvers on Feature Models
Proc. Int'l Working Conf. on Variability Modelling of Software-Intensive Systems (VaMoS)
Publisher: ACM, New York, NY, USA
2021
DOI:10.1145/3442391.3442404
ISBN:9781450388245
File:pdfhttps://github.com/SoftVarE-Group/Papers/raw/master/2021/2021-VaMoS-Sundermann.pdf
475.
Knüppel, Alexander; Thüm, Thomas; Schaefer, Ina
GUIDO: Automated Guidance for the Configuration of Deductive Program Verifiers
Proc. Int'l Conf. on Formal Methods in Software Engineering (FormaliSE) (To Appear)
Publisher: ACM, New York, NY, USA
2021
File:pdfhttps://github.com/SoftVarE-Group/Papers/raw/master/2021/2021-FormaliSE-Knueppel.pdf
474.
Witte, Thomas; Tichy, Matthias
Inferred Interactive Controls Through Provenance Tracking of ROS Message Data
2021 IEEE/ACM 3rd International Workshop on Robotics Software Engineering (RoSE)
2021
473.
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
2021
DOI:10.5381/jot.2021.20.3.a5
472.
Juhnke, Katharina
Improving the Quality of Automotive Test Case Specifications
Ulm University, Germany
2021
DOI:10.18725/OPARU-35558