C. Izurieta, A. Vetrò, N. Zazworka, Yuanfang Cai, C. Seaman, F. Shull
{"title":"组织技术债务格局","authors":"C. Izurieta, A. Vetrò, N. Zazworka, Yuanfang Cai, C. Seaman, F. Shull","doi":"10.1109/MTD.2012.6225995","DOIUrl":null,"url":null,"abstract":"To date, several methods and tools for detecting source code and design anomalies have been developed. While each method focuses on identifying certain classes of source code anomalies that potentially relate to technical debt (TD), the overlaps and gaps among these classes and TD have not been rigorously demonstrated. We propose to construct a seminal technical debt landscape as a way to visualize and organize research on the subject.","PeriodicalId":156499,"journal":{"name":"2012 Third International Workshop on Managing Technical Debt (MTD)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"70","resultStr":"{\"title\":\"Organizing the technical debt landscape\",\"authors\":\"C. Izurieta, A. Vetrò, N. Zazworka, Yuanfang Cai, C. Seaman, F. Shull\",\"doi\":\"10.1109/MTD.2012.6225995\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To date, several methods and tools for detecting source code and design anomalies have been developed. While each method focuses on identifying certain classes of source code anomalies that potentially relate to technical debt (TD), the overlaps and gaps among these classes and TD have not been rigorously demonstrated. We propose to construct a seminal technical debt landscape as a way to visualize and organize research on the subject.\",\"PeriodicalId\":156499,\"journal\":{\"name\":\"2012 Third International Workshop on Managing Technical Debt (MTD)\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-06-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"70\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 Third International Workshop on Managing Technical Debt (MTD)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MTD.2012.6225995\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Third International Workshop on Managing Technical Debt (MTD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MTD.2012.6225995","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
To date, several methods and tools for detecting source code and design anomalies have been developed. While each method focuses on identifying certain classes of source code anomalies that potentially relate to technical debt (TD), the overlaps and gaps among these classes and TD have not been rigorously demonstrated. We propose to construct a seminal technical debt landscape as a way to visualize and organize research on the subject.