News

Nachholtermin der Softwaretechnik Klausur am 05.11

27.10.2021
Der Nachholtermin der zweiten Softwaretechnikklausur (Modul "B.Inf.1209.Mp: Softwaretechnik I") ist auf den am 05.11.2021 von 09:00-11:00 festgelegt. Bitte seien Sie um 08:30 am Prüfungsort, damit der Einlass in den Hörsaal starten und die Bearbeitung der Klausur pünktlich beginnen kann. Die Klausur findet im Raum: ZHG011 statt (https://lageplan.uni-goettingen.de/?ident=5257_1_1.OG_1.151). Wie üblich müssen Sie sich zu der Klausur über das FlexNow System anmelden. Hierbei gelten die üblichen An- und Abmeldefristen.Betreten Sie den Raum nicht selbstständig. Sie werden zum Eintritt ausdrücklich aufgefordert. Bitte achten Sie immer auf einen Sicherheitsabstand von mindestens 1,5m.  Damit an der Prüfung teilgenommen werden kann, müssen Telefondaten hinterlegt werden. Diese können Sie vorab im Ecampus eintragen. Einige allgemeine Informationen.  - Mit Erkältungssymptomen dürfen Sie nicht an der Prüfung teilnehmen. - Sie müssen für eine hinreichende Händehygiene vor und nach der Prüfung Sorge tragen. Sie können dazu die Sanitäranlagen im ZHG verwenden.  - Allgemein steigt die Schutzwirkung einer Mund-Nasen-Bedeckung (MNB), je konsequenter sie von allen getragen wird. Verlangt wird das Tragen in den Bereichen und in den Phasen der Prüfung, in denen unter Umständen der geforderte Sicherheitsabstand nicht eingehalten wird, also z.B. im Gebäude oder Treppenhaus auf dem Weg zur Prüfung oder beim Betreten des Prüfungsraums. Am Arbeitsplatz und während der Prüfung kann der Schutz abgenommen werden, so dass auch das Trinken aus selbst mitgebrachten verschließbaren Flaschen etc. möglich ist.  - Abstand ist der wichtigste Schutzfaktor. Der Sicherheitsabstand kann minimal 1,5m betragen. Wenn größere Abstände realisiert werden können, steigt die Schutzwirkung.  Weitere Informationen zum Ablauf von Prüfungen in Präsenz finden Sie hier:

Softwaretechnik Klausur vom 07.10.2021 entfällt

07.10.2021
Die Softwaretechnik-Klausur am 07.10.2021 ist abgesagt. Wir werden Sie zeitnah über das weitere Vorgehen informieren.

Practical Course on Agile Software Development during the semester break

23.08.2021
During the semester break, our research group will offer a practical course on agile software development. In this course, students will learn about selected agile software development methods and practices and apply them in dedicated projects with the help of selected tools. The participants will be learning and applying their knowledge on three levels, including processes and practices, project-specific domain knowledge, implementation- and tool-specific aspects.Depending on the specific software projects, the students will get familiar with various state-of-the-art technologies and tools for software engineering and for the realisation of the specific project. The course will offer an insight into real-world software development, as well as other relevant aspects such as self learning, team work, and problem solving.

SIMULTECH 2021 Best Poster Award

13.07.2021
We are happy to announce that our article "Simulating live cloud adaptations prior to a production deployment using a models at runtime approach" received the best poster award of the 11th International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH 2021).

Paper accepted at SIMULTECH 2021

16.04.2021
We are happy to announce that our paper "Simulating live cloud adaptations prior to a production deployment using a models at runtime approach" was accepted at the 11th International Conference on Simulation and Modeling Methodologies. The paper presents a models at runtime approach which allows DevOps to test and develop configuration management scripts, as well as cloud orchestration capabilities locally in a simulation environment.

SWE Group @ CHAOSScast

14.04.2021
A couple of weeks ago, Steffen Herbold and Alexander Trautsch joined the CHAOSScast. The CHAOSS is a Linux Foundation project that works on measuring software and community health. We discussed our SmartSHARK project with the hosts, in which we collect and analyze data from software projects to study their evolution. Tune in to find out more about our currently ongoing research

Registered Report accepted at the MSR 2021

03.04.2021
We are happy to announce that our study protocol Exploring the relationship between performance metrics and cost saving potential of defect prediction models was accepted at the registered reports track of the International Conference on Mining Software Repositories (MSR), 2021. The protocol specifies how we want to study the relationship between machine learning performance metrics and the cost saving potential of defect prediction models. Our exploratory study received a Continuity Acceptance, which means that our study protocol is already peer reviewed. 

Paper published at the Journal of Software and Systems Modeling

10.03.2021
We are happy to announce that our paper "Model-based cloud resource management with TOSCA and OCCI" was recently accepted and is now published in the Software and Systems Modeling journal. The paper is a joint work of our group members Fabian Korte, Johannes Erbel, and Jens Grabowski with the researchers Philippe Merle, Stéphanie Challita, and Faiez Zalila from INRIA. In the paper a model-driven orchestration process is presented that builds upon the TOSCA and OCCI standard. We defined a mapping between elements of both cloud description languages and find that both standards are complementary to each other.

JSS 2020 Best Paper Award

01.03.2021
Our article Are Unit and Integration Test Definitions Still Valid for Modern Java Projects? An Empirical Study on Open-Source Projects received one of five best paper awards of the Journal of Systems and Software (JSS). JSS received over 1000 submissions every year, which means that our article is considered by the editors as among the best 0.5% of submitted papers!

SWE Group @ Fuzzy Quality Podcast

26.02.2021
A couple of weeks ago, Steffen Herbold and our M.Sc. student Tobias Haar were excited joined Adam Leon Smith on his Fuzzy Quality podcast. He found a preprint of our work on smoke testing for machine learning and wanted to discuss this with us and make our work more accessible for the software developer community. The result appeared in Wednesday's episode of the podcast. Tune in to find out more about or currently ongoing research.

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