News

Paper accepted at INTERACT 2019

19.04.2019
We are glad to announce that our paper "VR Interaction Modalities for the Evaluation of Technical Device Prototypes" has been accepted for publication at the 17th IFIP TC.13 International Conference on Human-Computer Interaction (INTERACT 2019). The paper shows possible interaction methods in Virtual Reality that allow for a formative usability evaluations of virtual prototypes of technical devices.

Gastvortrag von Herr Dipl.-Inf. Zimmer und Herr M.A. Zäck (Debeka): "Softwareentwicklung bei der Debeka"

18.04.2019
Wir freuen uns das am 25.04.2019 um 10 Uhr (c.t.) im MN14 Herr Zimmer und Herr Zäck (Debeka) im Rahmen der Softwaretechnik I Vorlesung einen Vortrag über die Softwareentwicklung bei der Debeka halten. Dieser Vortrag bietet die Möglichkeit einen Einblick in die praktische Seite des Software Engineerings zu bekommen. Zudem besteht die Möglichkeit Herrn Zäck Fragen bezüglich des Bewerbungsprozesses bei der Debeka zu stellen.

No office hours of Prof. Grabowski on 04.4.2019

03.04.2019
There will be no office hours of Prof. Grabowski on the 4th of April 2019. In urgent cases, please contact studiendekanatinformatik.uni-goettingen.de, studienberatungatinformatik.uni-goettingen.de.

Paper accepted at SEAMS 2019

04.03.2019
We are happy to announce that our paper OCCI-compliant, fully causal-connected architecture runtime models supporting sensor management was accepted for publication at the 14th Symposium on Software Engineering for Adaptive and Self-Managing Systems (SEAMS 2019). The paper is a joint work of our group members Johannes Erbel and Jens Grabowski with the researchers Thomas Brand and Holger Giese from the Hasso-Plattner-Institute, Germany and demonstrates an artifact to manage monitoring sensors using the OCCI standard and reflect their gathered monitoring results in an OCCI-compliant runtime model.

Presentations accepted for SimScience 2019

04.03.2019

No office hours of Prof. Grabowski on 14.2.2019

07.02.2019
There will be no office hours of Prof. Grabowski on 14. February 2019. In urgent cases, please contact studiendekanatinformatik.uni-goettingen.de, studienberatungatinformatik.uni-goettingen.de.

No office hours of Prof. Grabowski on 24.1.2019

22.01.2019
There will be no office hours of Prof. Grabowski on 24. January 2019. In urgent cases, please contact studiendekanatinformatik.uni-goettingen.de, studienberatungatinformatik.uni-goettingen.de.

Poster accepted for the PhD Symposium of the ICSE 2019

21.01.2019
We are happy to announce that our paper Effects of Automated Static Analysis Tools: A Multidimensional View on Quality Evolution was accepted as a poster at the 41st ACM/IEEE International Conference on Software Engineering (ICSE 2019). The paper presents an idea to study how static analysis is used in a software project and how its use influences software quality over time and in different parts of the project, i.e. tests.

Paper Accepted for Publication in TOCHI Journal

06.12.2018
We are glad to announce that the paper Automated Usability Evaluation of Virtual Reality Applications by Patrick Harms has been accepted for publication in the renowned journal ACM Transaction on Computer-Human Interaction. This is the groups first publication in this journal and its content will be presented at one of the upcoming conferences of the ACM Special Interest Group on Computer-Human Interaction (SIGCHI). The paper describes the application of our AutoQUEST tool suite in an automated evaluation of the usability of a virtual reality application. It shows, that such an automation is possible in principle, but that there is still room for further research.

HeKKSaGOn Webinar

25.10.2018

Steffen Herbold will be giving a Webinar for the data science working group of the HeKKSaGOn university network on November 9th at 8:00 am. The title of the Webinar is "Introduction to Clustering" and you can find the abstract below. Please contact us if you are interested in joining.
 
Abstract: Clustering is one of the major techniques for unsupervised machine learning and deals with the identification of groups of related items within data. This can be used, e.g., for the segmentation of customers into groups, identification of related genes, or to detect similarities in images. Within this session, we will define clustering and explain how machine learning can be used to solve clustering problems.

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