Proceedings Articles |
2020 |
Müller, Richard; Strempel, Tom: Graph-Based Performance Analysis at System- and Application-Level. In: 11th Symposium on Software Performance, Leipzig, Germany, 2020. (Type: Proceedings Article | Abstract | Links | BibTeX | Schlagwörter: Cypher, graph database, Java, jQAssistant, Jupyter notebook, Kieker, Neo4j, performance analysis, Python)@inproceedings{Mueller2020b, 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. |
2019 |
Müller, Richard; Fischer, Matteo: Graph-Based Analysis and Visualization of Software Traces. In: 10th Symposium on Software Performance, Würzburg, Germany, 2019. (Type: Proceedings Article | Abstract | Links | BibTeX | Schlagwörter: Cypher, graph database, Java, jQAssistant, Kieker, Neo4j, performance analysis)@inproceedings{Muller2019b, Graphs are a suitable representation of software artifacts' data created during development and maintenance activities. Software traces monitored with Kieker are one example of such data. We present a jQAssistant plugin that scans event-based Kieker traces and stores them in a Neo4j graph database. This opens up new possibilities for analyzing and visualizing these traces with respect to application performance monitoring and architecture discovery. We illustrate the feasibility and usefulness of the plugin with the Bookstore application example. |
Veröffentlichungen
Proceedings Articles |
2020 |
Graph-Based Performance Analysis at System- and Application-Level. In: 11th Symposium on Software Performance, Leipzig, Germany, 2020. | :
2019 |
Graph-Based Analysis and Visualization of Software Traces. In: 10th Symposium on Software Performance, Würzburg, Germany, 2019. | :