معرفی
Sebastian Krieter is a researcher in software engineering and product-line systems, affiliated with Otto-von-Guericke University Magdeburg, Germany. He completed his PhD in 2022 with a dissertation focused on efficient interactive and automated product-line configuration. His research spans software variability, feature modeling, configuration management, and automated software configuration.
Research Interests:
- Software Product Lines and Variability Management
- Feature Modeling and Analysis
- Automated Configuration and Sampling Algorithms
- Combinatorial Testing and Feature Interaction
- Knowledge Compilation and SAT-based Analysis
His recent work includes developing methods for T-wise interaction coverage, improving sampling efficiency in configurable systems, and integrating AI techniques into software variability management. He has contributed to the development of tools like FeatureIDE and UVL (Universal Variability Language).
Scientific Contributions:
- Over 70 peer-reviewed publications in top-tier venues such as ICSE, SPLC, GPCE, and ASE.
- Key organizer of workshops including the 1st International Workshop on Reverse Variability Engineering (Re: Volution).
- Active contributor to open-source tools and datasets for benchmarking feature model analyses.
Collaborations:
He has collaborated extensively with Thomas Thüm, Gunter Saake, Thomas Leich, and a network of international researchers in software engineering and AI.
