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.
Gerstl, Oliver; Sihler, Florian; Tichy, Matthias
Inferring the Shape of Data Frames in R Programs using Abstract Interpretation
ASE '26: 41st IEEE/ACM International Conference on Automated Software Engineering
Oktober 2026
DOI:10.1145/3832783.3834445
Weblink:https://arxiv.org/abs/2607.03889
753.
Sihler, Florian; Pfrenger, Lars; Gerstl, Oliver; Tichy, Matthias
Towards Automatically Inferring Constraints to Identify Implicit Assumptions in Data Analysis
2026 IEEE/ACM 48th International Conference on Software Engineering (ICSE-NIER ’26)
Juli 2026
DOI:10.1145/3786582.3786806
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