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

2022

646.
Young, Jeffrey M.; Bittner, Paul Maximilian; Walkingshaw, Eric; Thüm, Thomas
Variational Satisfiability Solving: Efficiently Solving Lots of Related SAT Problems
Empirical Software Engineering (EMSE) :53
November 2022
Herausgeber: Springer
DOI:10.1007/s10664-022-10217-3
645.
Höppner, Stefan; Ege, Florian; Stiess, Sarah Sophie; Tichy, Matthias; Becker, Steffen
Coordination and Explanation of Reconfigurations in Self-adaptive high-performance Systems
MODELS-C MoDDiT
Montreal
Oktober 2022
DOI:10.1145/3550356.3561555
644.
Pietron, Jakob; Funk, Lenard; Tichy, Matthias
Improving the Comprehension of Evolving Graphical Models
2022 Working Conference on Software Visualization (VISSOFT)
Oktober 2022
DOI:10.1109/VISSOFT55257.2022.00018
643.
Schultheiß, Alexander; Bittner, Paul Maximilian; Thüm, Thomas; Kehrer, Timo
Quantifying the Potential to Automate the Synchronization of Variants in Clone-and-Own
Proc. Int'l Conf. on Software Maintenance and Evolution (ICSME), Seite 269-280
Herausgeber: IEEE, Piscataway, NJ, USA
Oktober 2022
DOI:10.1109/ICSME55016.2022.00032
Datei:pdfhttps://github.com/SoftVarE-Group/Papers/raw/main/2022/2022-ICSME-Schultheiss.pdf
642.
Hentze, Marc; Sundermann, Chico; Thüm, Thomas; Schaefer, Ina
Quantifying the Variability Mismatch Between Problem and Solution Space
Proc. Int'l Conf. on Model Driven Engineering Languages and Systems (MODELS), Seite 322-333
Herausgeber: IEEE, Washington, DC, USA
Oktober 2022
DOI:10.1145/3550355.3552411
ISBN:9781450394666
Datei:pdfhttps://github.com/SoftVarE-Group/Papers/raw/main/2022/2022-MODELS-Hentze.pdf