| Evaluating an interactive memory analysis tool: Findings from a cognitive walkthrough and a user study M Weninger, P Grünbacher, E Gander, A Schörgenhumer Proceedings of the ACM on Human-Computer Interaction 4 (EICS), 1-37, 2020 | 24 | 2020 |
| Efficient tracing and versatile analysis of lock contention in Java applications on the virtual machine level P Hofer, D Gnedt, A Schörgenhumer, H Mössenböck Proceedings of the 7th ACM/SPEC on International Conference on Performance …, 2016 | 22 | 2016 |
| Can We Predict Performance Events with Time Series Data from Monitoring Multiple Systems? A Schörgenhumer, M Kahlhofer, P Grünbacher, H Mössenböck Companion of the 2019 ACM/SPEC International Conference on Performance …, 2019 | 10 | 2019 |
| Efficient Sampling-based Lock Contention Profiling in Java (Master's Thesis) A Schörgenhumer Johannes Kepler Universität Linz, 2017 | 9* | 2017 |
| A Framework for Preprocessing Multivariate, Topology-Aware Time Series and Event Data in a Multi-System Environment A Schörgenhumer, M Kahlhofer, P Chalupar, P Grünbacher, ... 2019 IEEE 19th International Symposium on High Assurance Systems Engineering …, 2019 | 4 | 2019 |
| Using crash frequency analysis to identify error-prone software technologies in multi-system monitoring A Schörgenhumer, M Kahlhofer, H Mössenböck, P Grünbacher 2018 IEEE International Conference on Software Quality, Reliability and …, 2018 | 3 | 2018 |
| Using Multi-System Monitoring Time Series to Predict Performance Events A Schörgenhumer, M Kahlhofer, P Chalupar, H Mössenböck, ... Gesellschaft für Informatik eV, 2019 | 2 | 2019 |
| An Approach for Ranking Feature-based Clustering Methods and its Application in Multi-System Infrastructure Monitoring A Schörgenhumer, T Natschläger, P Grünbacher, M Kahlhofer, ... 2021 47th Euromicro Conference on Software Engineering and Advanced …, 2021 | 1 | 2021 |
| Selecting time series clustering methods based on run-time costs A Schörgenhumer, P Grünbacher, H Mössenböck Gesellschaft für Informatik eV, 2020 | 1 | 2020 |
| On the Difficulties of Supervised Event Prediction based on Unbalanced Real-World Data in Multi-System Monitoring A Schörgenhumer, M Kahlhofer, P Chalupar, H Mössenböck, ... Gesellschaft für Informatik eV, 2019 | 1 | 2019 |
| Data Analysis and Error Analytics in Large-Scale Heterogeneous Software Systems/submitted by Dipl.-Ing. Andreas Schörgenhuber, BSc A Schörgenhumer | | 2021 |
