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.
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