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

2023

650.
Sundermann, Chico; Heß, Tobias; Nieke, Michael; Bittner, Paul Maximilian; Young, Jeffrey M.; Thüm, Thomas; Schaefer, Ina
Evaluating State-of-the-Art #SAT Solvers on Industrial Configuration Spaces
Empirical Software Engineering (EMSE) (To Appear)
2023
Herausgeber: Springer

2022

649.
Bittner, Paul Maximilian; Tinnes, Christof; Schultheiß, Alexander; Viegener, Sören; Kehrer, Timo; Thüm, Thomas
Classifying Edits to Variability in Source Code
Proc. Europ. Software Engineering Conf./Foundations of Software Engineering (ESEC/FSE)
Herausgeber: ACM, New York, NY, USA
November 2022
DOI:10.1145/3540250.3549108
Datei:pdfhttps://github.com/SoftVarE-Group/Papers/raw/main/2022/2022-ESECFSE-Bittner.pdf
648.
Höppner, Stefan; Stiess, Sarah Sophie; Ege, Florian; Tichy, Matthias
State Space Exploration for Planning Reconfigurations in Cloud-native Systems
13th Symposium on Software Performance
Stuttgart
November 2022
647.
Schultheiß, Alexander; Bittner, Paul Maximilian; Boll, Alexander; Grunske, Lars; Thüm; Kehrer, Timo
RaQuN: A Generic and Scalable N-Way Model Matching Algorithm
Software and System Modeling (SoSyM)
November 2022
Herausgeber: Springer
DOI:10.1007/s10270-022-01062-5
Datei:pdfhttps://github.com/SoftVarE-Group/Papers/raw/main/2022/2022-SoSyM-Schultheiss.pdf
646.
Runge, Tobias; Bordis, Tabea; Potanin, Alex; Thüm, Thomas; Schaefer, Ina
Flexible Correct-by-Construction Programming
Technical Report arXiv:2205.15180
November 2022
DOI:10.48550/arXiv.2205.15180
Datei:https://arxiv.org/abs/2211.15261