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

Email: in.sp-office@uni-ulm.de

Directions

 

Newest publications

2026

754.
Wiesmayr, Bianca; Garmendia, Antonio; Zoitl, Alois; Wimmer, Manuel
An Interpreter-Based Execution Framework for IEC 61499 Function Block Networks
The Journal of Object Technology, 25 (3), Seite 239-252
Juni 2026
DOI:10.5381/jot.2026.25.3.a17
Weblink:https://www.jot.fm/issues/issue_2026_03/a19.pdf
753.
Wiesmayr, Bianca; Zoitl, Alois; Walter, Jörg; Hästbacka, David
Modeling service choreographies and collaborations for autonomous mixed-fleet systems: using BPMN, IEC 61499, and SysML
Springer Innovations in Systems and Software Engineering, S.I.: MODEVAA/SAM 2024, 22 (18)
Juni 2026
DOI:10.1007/s11334-026-00641-9
Weblink:https://link.springer.com/content/pdf/10.1007/s11334-026-00641-9.pdf
752.
Niehues, Nils; Hahner, Sebastian; Heinrich, Robert
Mitigation strategies for confidentiality violations in software architecture using ranked feature importance
Journal of Systems and Software, Volume 235
Mai 2026
Herausgeber: Elsevier
DOI:10.1016/j.jss.2025.112761
ISBN:0164-1212
751.
Neumüller, Denis; Boll, Sebastian; Schüler, David; Tichy, Matthias
Combining Static Code Analysis and Large Language Models Improves Correctness and Performance of Algorithm Recognition
33. International Conference on Software Analysis, Evolution and Reengineering (SANER)
Herausgeber: IEEE
2026
ISBN:979-8-3315-8582-2
Datei:http://arxiv.org/abs/2604.03048
750.
Schultheiß, Alexander; Boll, Alexander; Bittner, Paul Maximilian; Greiner, Sandra; Thüm, Thomas; Kehrer, Timo
Decades of GNU Patch and Git Cherry-Pick: Can We Do Better?
Proc. Int'l Conf. on Software Engineering (ICSE) (To Appear)
2026