{"title":"Function Insight: Highlighting Suspicious Sections in Binary Run Traces","authors":"M. Cheatham, J. Raber","doi":"10.1109/WCRE.2011.63","DOIUrl":null,"url":null,"abstract":"Function Insight is a tool for visualizing run traces at the functional level. A key feature is the ability to bring the user's attention to particularly important sections of code based on rule-, machine learning- and data mining-based heuristics or a user-defined \"interest metric.\"","PeriodicalId":350863,"journal":{"name":"2011 18th Working Conference on Reverse Engineering","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 18th Working Conference on Reverse Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WCRE.2011.63","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Function Insight is a tool for visualizing run traces at the functional level. A key feature is the ability to bring the user's attention to particularly important sections of code based on rule-, machine learning- and data mining-based heuristics or a user-defined "interest metric."