Chair of Software Engineering

The Chair of Software Engineering is headed by Prof. Dr. Samuel Kounev. Our research is aimed at developing novel methods, techniques and tools for the engineering of dependable and efficient computer-based systems, including both classical software systems and cyber-physical systems. Our major focus areas include: software design, modeling and architecture-based analysis; systems benchmarking and experimental analysis; and autonomic and self-aware computing. Our research is inspired by the vision of Self-Aware Computing Systems, designed with built-in model learning and reasoning capabilities enabling autonomic and proactive decision making at run-time.


23.03.17 – New PhD: Dr. Piotr Rygielski

Piotr Rygielski received his PhD. Congratulations!

23.01.17 – SeAC @ ICAC 2017

The 1st Workshop on Self-Aware Computing Systems (SeAC) co-located with ICAC 2017 will take place on July 17-18, 2017 in Columbus, Ohio, USA and is organized by the Chair of Software Engineering (Informatik II) with Prof. Samuel Kounev and Nikolas Herbst serving as co-organizers.

04.01.17 – New Book published by Springer

A new book "Self-Aware Computing Systems" by Samuel Kounev, Jeffrey O. Kephart, Aleksandar Milenkoski and Xiaoyun Zhu has been published by Springer as a standalone advanced text book.

28.11.16 – New PhD: Dr. Aleksandar Milenkoski

Aleksandar Milenkoski received his PhD. Congratulations!

24.09.16 – A Milestone for DML

A new journal paper "Model-Based Self-Aware Performance and Resource Management Using the Descartes Modeling Language" has been accepted for publication in IEEE Transactions on Software Engineering (TSE). The Descartes Modeling Language (DML) is a major product of our group used in a number of projects.

24.08.16 – Summary of Emmy Noether Project "Descartes"

An article in IEEE Computer Magazine summarizes the results of our DFG Emmy Noether Project "Descartes". A major output of this project was the development of the Descartes Modeling Language (DML), which provides a foundation for self-aware quality-of-service and resource management in modern IT systems and infrastructures.