{"title":"Exploiting the Analogy Between Traces and Signal Processing","authors":"Adrian Kuhn, O. Greevy","doi":"10.1109/ICSM.2006.29","DOIUrl":null,"url":null,"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","PeriodicalId":436673,"journal":{"name":"2006 22nd IEEE International Conference on Software Maintenance","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"68","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 22nd IEEE International Conference on Software Maintenance","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSM.2006.29","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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