Visualizing Runtime Evolution Paths in a Multidimensional Space (Work In Progress Paper)

Faculty/Professorship: Information Visualisation 
Author(s): Tarner, Hagen; Beck, Fabian  
Publisher Information: Bamberg : Otto-Friedrich-Universität
Year of publication: 2023
Pages: 33-38
Source/Other editions: ICPE '23 Companion: Companion of the 2023 ACM/SPEC International Conference on Performance Engineering: New York, NY, United States : Association for Computing Machinery, 2023. S. 33-38. - ISBN: 979-8-4007-0072-9
is version of: 10.1145/3578245.3585031
Language(s): English
Licence: German Act on Copyright 
URN: urn:nbn:de:bvb:473-irb-591917
Runtime data of software systems is often of multivariate nature, describing different aspects of performance among other characteristics, and evolves along different versions or changes depending on the execution context. This poses a challenge for visualizations, which are typically only two- or three-dimensional. Using dimensionality reduction, we project the multivariate runtime data to 2D and visualize the result in a scatter plot. To show changes over time, we apply the projection to multiple timestamps and connect temporally adjacent points to form trajectories. This allows for cluster and outlier detection, analysis of co-evolution, and finding temporal patterns. While projected temporal trajectories have been applied to other domains before, we use it to visualize software evolution and execution context changes as evolution paths. We experiment with and report results of two application examples: (I) the runtime evolution along different versions of components from the Apache Commons project, and (II) a benchmark suite from scientific visualization comparing different rendering techniques along camera paths.
GND Keywords: Visualisierung; Leistung; Software; Dynamische Analyse
Keywords: software visualization, software performance
DDC Classification: 004 Computer science  
RVK Classification: ST 274   
Peer Reviewed: Ja
International Distribution: Ja
Type: Conferenceobject
Release Date: 10. May 2023

File SizeFormat  
fisba59191.pdf3.46 MBPDFView/Open