@inproceedings{Mueller2020b,
title = {Graph-Based Performance Analysis at System- and Application-Level},
author = {Richard Müller and Tom Strempel},
url = {https://pi.informatik.uni-siegen.de/stt/40_3/01_Fachgruppenberichte/SSP2019/SSP2020_Mueller.pdf},
year = {2020},
date = {2020-01-01},
booktitle = {11th Symposium on Software Performance},
address = {Leipzig, Germany},
abstract = {The Kieker plugin for jQAssistant transforms monitored log data into graphs to support software engineers with performance analysis. In this paper, we describe how we have extended and improved this plugin to support performance analysis at system- and application-level and how we have evaluated its correctness and scalability using data from recent experiments. This is a first step to replicate complete experiments in the field of performance analysis using graphs.},
keywords = {Cypher, graph database, Java, jQAssistant, Jupyter notebook, Kieker, Neo4j, performance analysis, Python},
pubstate = {published},
tppubtype = {inproceedings}
}