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 software systems. Our major focus areas include: software design, modeling and architecture-based analysis; systems benchmarking, monitoring and experimental analysis; and autonomic and self-aware systems management. Our research is inspired by the vision of Self-Aware Computing Systems, designed with integrated online prediction and proactive self-adaptation capabilities, used to enforce quality-of-service requirements in a cost- and energy-efficient manner.


16.06.16 – IEEE ICAC comes to Würzburg

The 13th IEEE International Conference on Autonomic Computing will take place in Würzburg from July 18th to July 22nd, 2016 and is organized by the Chair of Software Engineering (Informatik II) with Prof. Samuel Kounev serving as General Chair.

27.04.16 – Report in TV News

A report about our research on data center energy efficiency was featured on German TV news.

25.04.16 – Aleksandar Milenkoski receives SPECtacular Award

A SPECtacular Award was presented to Aleksandar Milenkoski by the President of SPEC at the SPEC Annual Meeting 2016 in Freemont, California, USA.

29.02.16 – Informatiker erhält Google Research Award

Mit dem Google Research Award erhalten Professor Samuel Kounev und sein Wissenschaftlerteam einen hochdotierten Preis für ihre Forschung. Die Würzburger Informatiker setzten sich mit ihrem Projekt zur effizienteren Serverauslastung gegen 800 andere Bewerber aus 48 Ländern durch.

29.12.15 – Artikel in einBLICK über unsere Kooperation mit ABB

Unternehmen könnten Geld und Zeit sparen, wenn sich die Leistungsfähigkeit ihrer Software-Systeme in einem automatisierten Prozess abbilden ließe. An diesem Ziel arbeiten Informatiker unseres Lehrstuhls in Kooperation mit Forschern der ABB AG.

19.08.15 – Google Research Award

The Chair of Software Engineering (Prof. Dr. Samuel Kounev) is starting a new collaboration with Google as part of a Google Research Award on the topic of "On-the-fly resource demand estimation during system operation".