交互式微阵列调用图可视化

Michael D. Shah, Samuel Z. Guyer
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引用次数: 8

摘要

在本文中,我们提出了一个用于查看大型程序的交互式调用图可视化工具。我们的基于空间填充网格的可视化显示了程序调用图的功能。网格视图提供了所有方法的概览,允许用户调查和查看函数的子集,最后根据需要跳转到源代码以获取更多细节。我们的工具帮助程序员将大的调用图减少为更小的子图,这些子图具有对程序理解很重要的函数关系。在我们的基准测试中,我们以交互帧率查看和探索具有18,720个函数的程序中的代码关系。我们提供了两个用例,其中包含了对c++中的配置文件引导优化和并发Java程序中的临界区进行研究的一些发现。我们的软件可视化工具是基于Java的,并且可以跨平台移植。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Interactive Microarray Call-Graph Visualization
In this paper we present an interactive call-graph visualization tool for viewing large programs. Our space-filling grid-based visualization shows the functions of a programs call-graph. The grid view provides an overview of all of the methods, allowing the user to investigate and view subsets of functions, and finally jump to source code for more details on demand. Our tool assists programmers by reducing large call graphs into smaller subgraphs with function relationships that matter for program comprehension. In our benchmarks, we view and explore code relationships in programs with 18,720 functions at interactive frame rates. We provide two use cases with several findings on investigating profile-guided optimizations in C++ and critical sections in concurrent Java programs. Our software visualization tool is Java based and portable across multiple platforms.
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