Efficient Tracing and Versatile Analysis of Lock Contention in Java Applications on the Virtual Machine Level. - Peter Hofer; David Gnedt; Andreas Schörgenhumer; Hanspeter Mössenböck (ICPE, 2016)

Efficient Sampling-based Lock Contention Profiling for Java. - Andreas Schörgenhumer; Peter Hofer; David Gnedt; Hanspeter Mössenböck (ICPE, 2017)

Using Crash Frequency Analysis to Identify Error-Prone Software Technologies in Multi-System Monitoring. - Andreas Schörgenhumer; Mario Kahlhofer; Hanspeter Mössenböck; Paul Grünbacher (QRS, 2018)

A Framework for Preprocessing Multivariate, Topology-Aware Time Series and Event Data in a Multi-System Environment. - Andreas Schörgenhumer; Mario Kahlhofer; Peter Chalupar; Paul Grünbacher; Hanspeter Mössenböck (HASE, 2019)

Can we Predict Performance Events with Time Series Data from Monitoring Multiple Systems? - Andreas Schörgenhumer; Mario Kahlhofer; Paul Grünbacher; Hanspeter Mössenböck (ICPE Companion, 2019)

Using Multi-System Monitoring Time Series to Predict Performance Events. - Andreas Schörgenhumer; Mario Kahlhofer; Peter Chalupar; Hanspeter Mössenböck; Paul Grünbacher (Softwaretechnik-Trends, 2019)

On the Difficulties of Supervised Event Prediction based on Unbalanced Real-World Data in Multi-System Monitoring. - Andreas Schörgenhumer; Mario Kahlhofer; Peter Chalupar; Hanspeter Mössenböck; Paul Grünbacher (Softwaretechnik-Trends, 2019)

Evaluating an Interactive Memory Analysis Tool: Findings from a Cognitive Walkthrough and a User Study. - Markus Weninger; Paul Grünbacher; Elias Gander; Andreas Schörgenhumer (Proc. ACM Hum. Comput. Interact., 2020)

Selecting Time Series Clustering Methods based on Run-Time Costs. - Andreas Schörgenhumer; Paul Grünbacher; Hanspeter Mössenböck (Softwaretechnik-Trends, 2020)

An Approach for Ranking Feature-based Clustering Methods and its Application in Multi-System Infrastructure Monitoring. - Andreas Schörgenhumer; Thomas Natschläger; Paul Grünbacher; Mario Kahlhofer; Peter Chalupar; Hanspeter Mössenböck (SEAA, 2021)