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2017 IEEE Working Conference on Software Visualization (VISSOFT) (2017)
Shanghai, China
Sept. 18, 2017 to Sept. 19, 2017
ISBN: 978-1-5386-1003-9
pp: 33-42
For developers concerned with a performance drop or improvement in their software, a profiler allows a developer to quickly search and identify bottlenecks and leaks that consume much execution time. Non real-time profilers analyze the history of already executed stack traces, while a real-time profiler outputs the results concurrently with the execution of software, so users can know the results instantaneously. However, a real-time profiler risks providing overly large and complex outputs, which is difficult for developers to quickly analyze. In this paper, we visualize the performance data from a real-time profiler. We visualize program execution as a three-dimensional (3D) city, representing the structure of the program as artifacts in a city (i.e., classes and packages expressed as buildings and districts) and their program executions expressed as the fluctuating height of artifacts. Through two case studies and using a prototype of our proposed visualization, we demonstrate how our visualization can easily identify performance issues such as a memory leak and compare performance changes between versions of a program. A demonstration of the interactive features of our prototype is available at
data visualisation, program debugging, program diagnostics, software maintenance, visual programming

K. Ogami, R. G. Kula, H. Hata, T. Ishio and K. Matsumoto, "Using High-Rising Cities to Visualize Performance in Real-Time," 2017 IEEE Working Conference on Software Visualization (VISSOFT), Shanghai, China, 2018, pp. 33-42.
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