{"title":"eFlowMining: An Exception-Flow Analysis Tool for .NET Applications","authors":"Israel García, N. Cacho","doi":"10.1109/LADCW.2011.18","DOIUrl":null,"url":null,"abstract":"In this paper, we present a exception-flow analysis tool, called eFlow Mining, that automates the process of gathering and visualizing exception-handling constructs in multi-programming languages. More specifically, the current version of eFlow Mining focuses on code written using the. NET framework to help developers in inspecting applications either to improve them or to understand their exception handling behavior. eFlow Mining extracts metrics and information about the exception flows in. NET applications, providing different views of the exception handling. For instance, an Evolution View allows developers to visualize the behavior of multiple metrics over the application history. Use of this tool on five. NET applications demonstrates that the tool can be helpful to support developers building and evolving applications with appropriate error-handling strategies.","PeriodicalId":383812,"journal":{"name":"2011 Fifth Latin-American Symposium on Dependable Computing Workshops","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 Fifth Latin-American Symposium on Dependable Computing Workshops","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/LADCW.2011.18","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 18
Abstract
In this paper, we present a exception-flow analysis tool, called eFlow Mining, that automates the process of gathering and visualizing exception-handling constructs in multi-programming languages. More specifically, the current version of eFlow Mining focuses on code written using the. NET framework to help developers in inspecting applications either to improve them or to understand their exception handling behavior. eFlow Mining extracts metrics and information about the exception flows in. NET applications, providing different views of the exception handling. For instance, an Evolution View allows developers to visualize the behavior of multiple metrics over the application history. Use of this tool on five. NET applications demonstrates that the tool can be helpful to support developers building and evolving applications with appropriate error-handling strategies.