Smart Browsing among Multiple Aspects of Data-Flow Visual Program Execution, Using Visual Patterns and Multi-Focus Fisheye Views
Smart Browsing among Multiple Aspects of Data-Flow Visual Program Execution, Using Visual Patterns and Multi-Focus Fisheye Views
复制标题
使用视觉模式和多焦点鱼眼视图在数据流可视化程序执行的多个方面进行智能浏览
DOI：
10.1006/jvlc.2000.0177
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发表时间：
2000
期刊：
影响因子：
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通讯作者：
Shin Takahashi
中科院分区：
文献类型：
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作者：
B. Shizuki;Masashi Toyota;Etsuya Shibayama;Shin Takahashi
摘要本文提出了一种可扩展的可视化技术，用于数据流可视化程序执行的自动动画，并提出了一种软件体系结构，为调试程序提供可扩展的接口，它利用多焦点鱼眼观察算法结合语义缩放接口来显示运行时的各种信息。该体系结构还支持用户浏览的界面，自动分配适当的焦点，基于嵌入在调试程序的信息。因此，可以为浏览动态创建的数据流网络提供可扩展的视图和智能帮助。我们已经将这些想法纳入到KLIEG可视化并行编程环境的可视化跟踪程序。
Abstract This paper presents a scalable visualization technique for automatic animation of data-flow visual program execution, and a software architecture to provide a scalable interface for debugging programs, which exploits a multi-focus fisheye viewing algorithm in conjunction with a semantic zooming interface to show various kinds of information at runtime. The architecture also supports users' browsing with the interface by automatically assigning proper focal points, based on information embedded in the debugged programs. Thus, it is possible to provide scalable views and intelligent assistance for browsing dynamically created data-flow networks. We have incorporated these ideas into the visual tracer of the KLIEG visual parallel programming environment.