利用走线和信号处理之间的类比

Adrian Kuhn, O. Greevy
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引用次数: 68

摘要

动态分析的主要挑战是庞大的数据量,这使得提取高级视图变得困难。目前开发的大多数技术都采用细粒度方法来解决这个问题。本文介绍了一种将整个轨迹表示为时间信号的新方法。在动态分析和信号处理之间进行类比,我们能够访问丰富的完善和现成的分析技术工具包。作为这种类比的一个应用,我们展示了如何将系统的完整特征空间的可视化仅放在一个页面上:我们的方法将特征轨迹可视化为时间图,总结跟踪信号并使用动态时间扭曲将它们按相似的特征分组。我们将该方法应用于一个案例研究,并讨论在可视化中观察到的常见模式和独特模式
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Exploiting the Analogy Between Traces and Signal Processing
The main challenge of dynamic analysis is the huge volume of data, making it difficult to extract high level views. Most techniques developed so far adopt a finegrained approach to address this issue. In this paper we introduce a novel approach representing entire traces as signals in time. Drawing this analogy between dynamic analysis and signal processing, we are able to access a rich toolkit of well-established and ready-to-use analysis techniques. As an application of this analogy, we show how to fit a visualization of the complete feature space of a system on one page only: our approach visualizes feature traces as time plots, summarizes the trace signals and uses dynamic time warping to group them by similar features. We apply the approach on a case study, and discuss both common and unique patterns as observed on the visualization
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