{"title":"Visualizing code profiling line oriented statistics","authors":"S. Eick, Joseph L. Steffen","doi":"10.1109/VISUAL.1992.235206","DOIUrl":null,"url":null,"abstract":"A visualization technique that makes it possible to display and analyze line count profile data is described. The technique is to make a reduced picture of code with the line execution counts identified with color. Hot spots are shown in red, warm spots in orange, and so on. It is possible to identify nonexecuted code and nonexecutable code such as declarations and static tables.<<ETX>>","PeriodicalId":164549,"journal":{"name":"Proceedings Visualization '92","volume":"72 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"20","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings Visualization '92","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VISUAL.1992.235206","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 20
Abstract
A visualization technique that makes it possible to display and analyze line count profile data is described. The technique is to make a reduced picture of code with the line execution counts identified with color. Hot spots are shown in red, warm spots in orange, and so on. It is possible to identify nonexecuted code and nonexecutable code such as declarations and static tables.<>