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2020 – today
- 2021
[c6]Andreas Schörgenhumer, Thomas Natschläger, Paul Grünbacher, Mario Kahlhofer
, Peter Chalupar, Hanspeter Mössenböck:
An Approach for Ranking Feature-based Clustering Methods and its Application in Multi-System Infrastructure Monitoring. SEAA 2021: 178-187- 2020
- [j4]Markus Weninger, Paul Grünbacher, Elias Gander, Andreas Schörgenhumer:
Evaluating an Interactive Memory Analysis Tool: Findings from a Cognitive Walkthrough and a User Study. Proc. ACM Hum. Comput. Interact. 4(EICS): 75:1-75:37 (2020) - [j3]Andreas Schörgenhumer, Paul Grünbacher, Hanspeter Mössenböck:
Selecting Time Series Clustering Methods based on Run-Time Costs. Softwaretechnik-Trends 40(3): 49-51 (2020)
2010 – 2019
- 2019
- [j2]Andreas Schörgenhumer, Mario Kahlhofer, Peter Chalupar, Hanspeter Mössenböck, Paul Grünbacher:
Using Multi-System Monitoring Time Series to Predict Performance Events. Softwaretechnik-Trends 39(3): 55-57 (2019) - [j1]Andreas Schörgenhumer, Mario Kahlhofer, Peter Chalupar, Hanspeter Mössenböck, Paul Grünbacher:
On the Difficulties of Supervised Event Prediction based on Unbalanced Real-World Data in Multi-System Monitoring. Softwaretechnik-Trends 39(4): 38-40 (2019) - [c5]Andreas Schörgenhumer, Mario Kahlhofer, Peter Chalupar, Paul Grünbacher, Hanspeter Mössenböck:
A Framework for Preprocessing Multivariate, Topology-Aware Time Series and Event Data in a Multi-System Environment. HASE 2019: 115-122 - [c4]Andreas Schörgenhumer, Mario Kahlhofer, Paul Grünbacher, Hanspeter Mössenböck:
Can we Predict Performance Events with Time Series Data from Monitoring Multiple Systems? ICPE Companion 2019: 9-12 - 2018
- [c3]Andreas Schörgenhumer, Mario Kahlhofer, Hanspeter Mössenböck, Paul Grünbacher:
Using Crash Frequency Analysis to Identify Error-Prone Software Technologies in Multi-System Monitoring. QRS 2018: 183-190 - 2017
- [c2]Andreas Schörgenhumer, Peter Hofer, David Gnedt, Hanspeter Mössenböck:
Efficient Sampling-based Lock Contention Profiling for Java. ICPE 2017: 331-334 - 2016
- [c1]Peter Hofer, David Gnedt, Andreas Schörgenhumer, Hanspeter Mössenböck:
Efficient Tracing and Versatile Analysis of Lock Contention in Java Applications on the Virtual Machine Level. ICPE 2016: 263-274
Coauthor Index
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