Software Engineering Research Group
Welcome!
Our mission is to research and teach theories, methods, processes, and techniques for
building and evolving large, complex, and long-living software systems. We aim at adding the
engineering to the profession of software developers, making their live more productive and cheerful, and resulting in software systems of high quality. SERG is led by
Martin Pinzger and part of the
Department of Informatics Systems,
Faculty of Technical Sciences, at the
Alpen-Adria-Universität Klagenfurt.
Studying Computer Science at the Alpen-Adria-Universität Klagenfurt
Our university offers an attractive and international program for doing a Bachelor, Master, and/or a Doctorate in Computer Science. As one of our Master students stated: "Studying computer science at the Alpen-Adria-Universität Klagenfurt offers a challenging road that is rewarded with great job opportunities." For more information see the study guides on the
Bachelor,
Master and
Doctorate programs.
We are looking for students with strong technical or research skills for doing a Master's Thesis or a Softwarepraktika with us. We have a number of open thesis projects also in collaboration with industry. Find out more info on our open thesis projects on this
web-site. Regarding Softwarepraktika check out this
web-site.
Collaborating with SERG
In addition to basic research, we have a big interest in performing applied research whose results are transferred to industry, governmental institutions, and open source communities. The collaborations of SERG with X-Automata, Philips Healthcare, KPMG, Robeco, and the Software Improvement Group (SIG) are good examples of such a knowledge transfer. If you are interested in a collaboration with SERG, e.g., in form of a partner in a research project, sponsor of our research, or in some other form, please
contact us.
News
- October 2019 - Our paper "Automatic Repair of Timestamp Comparisons" has been accepted for publication in the IEEE journal Transactions on Software Engineering (TSE).
- July 2019 - Our paper "What kind of questions do developers ask on Stack Overflow? A comparison of automated approaches to classify posts into question categories" has been accepted for publication in the journal Empirical Software Engineering.