Project Details
| Status | Finished |
|---|---|
| Effective start/end date | 01.02.2013 → 31.08.2020 |
Collaborative partners
- Johannes Kepler University Linz (lead)
- Primetals Technologies Austria GmbH (Project partner)
- KEBA AG (Project partner)
- Dynatrace Austria GmbH (Project partner)
Fields of science
- 102 Computer Sciences
- 102022 Software development
JKU Focus areas
- Digital Transformation
-
An Approach for Ranking Feature-based Clustering Methods and its Application in Multi-System Infrastructure Monitoring
Schörgenhumer, A., Natschläger, T., Grünbacher, P., Kahlhofer, M., Chalupar, P. & Mössenböck, H., Sept 2021, 2021 47th Euromicro Conference on Software Engineering and Advanced Applications (SEAA). Baldassarre, M. T., Scanniello, G. & Skavhaug, A. (eds.). IEEE, p. 178-187 10 p.Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review
-
Concepts of variation control systems
Linsbauer, L., Schwägerl, F., Berger, T. & Grünbacher, P., Jan 2021, In: The Journal of Systems and Software. 171, 25 p., 110796.Research output: Contribution to journal › Article › peer-review
-
Feature-Oriented Clone and Pull for Distributed Development and Evolution
Hinterreiter, D., Linsbauer, L., Prähofer, H. & Grünbacher, P., Aug 2021, QUATIC 2021: Quality of Information and Communications Technology pp 67-8. 15 p.Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review
-
Selecting Time Series Clustering Methods based on Run-Time Costs
Schörgenhumer, A. (Speaker)
12 Nov 2020Activity: Talk or presentation › Contributed talk › science-to-science
-
Visualizing Feature-Level Evolution in Product Lines: A Research Preview
Hinterreiter, D. (Speaker)
26 Jun 2020Activity: Talk or presentation › Contributed talk › science-to-science
-
On the Difficulties of Supervised Event Prediction based on Unbalanced Real-World Data in Multi-System Monitoring
Schörgenhumer, A. (Speaker)
05 Nov 2019Activity: Talk or presentation › Contributed talk › science-to-science