Exploiting the Analogy Between Traces and Signal Processing

Adrian Kuhn, O. Greevy
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引用次数: 68

Abstract

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
利用走线和信号处理之间的类比
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
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