Merino, Leonel; Hess, Mario; Bergel, Alexandre; Nierstrasz, Oscar; Weiskopf, Daniel (2019). PerfVis: Pervasive Visualization in Immersive Augmented Reality for Performance Awareness. In: ACM/SPEC International Conference on Performance Engineering, ICPE '19. ICPE '19 (pp. 13-16). New York, NY, USA: ACM 10.1145/3302541.3313104
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Developers are usually unaware of the impact of code changes to the performance of software systems. Although developers can analyze the performance of a system by executing, for instance, a performance test to compare the performance of two consecutive versions of the system, changing from a programming task to a testing task would disrupt the development flow. In this paper, we propose the use of a city visualization that dynamically provides developers with a pervasive view of the continuous performance of a system. We use an immersive augmented reality device (Microsoft HoloLens) to display our visualization and extend the integrated development environment on a computer screen to use the physical space. We report on technical details of the design and implementation of our visualization tool, and discuss early feedback that we collected of its usability. Our investigation explores a new visual metaphor to support the exploration and analysis of possibly very large and multidimensional performance data. Our initial result indicates that the city metaphor can be adequate to analyze dynamic performance data on a large and non-trivial software system.
Item Type: |
Conference or Workshop Item (Paper) |
---|---|
Division/Institute: |
08 Faculty of Science > Institute of Computer Science (INF) |
UniBE Contributor: |
Merino, Leonel, Hess, Mario, Nierstrasz, Oscar |
Subjects: |
000 Computer science, knowledge & systems 500 Science > 510 Mathematics |
ISBN: |
978-1-4503-6286-3 |
Series: |
ICPE '19 |
Publisher: |
ACM |
Language: |
English |
Submitter: |
Oscar Nierstrasz |
Date Deposited: |
17 Feb 2020 14:50 |
Last Modified: |
05 Dec 2022 15:36 |
Publisher DOI: |
10.1145/3302541.3313104 |
Uncontrolled Keywords: |
scg-pub jb19 scg19 snf-asa3 performance engineering, software visualization |
BORIS DOI: |
10.7892/boris.139908 |
URI: |
https://boris.unibe.ch/id/eprint/139908 |