{"title":"Lightweight Risk Mitigation for Software Development Projects Using Repository Mining","authors":"S. P. Masticola","doi":"10.1109/MSR.2007.16","DOIUrl":null,"url":null,"abstract":"Many software projects fail to deliver their needed results on-time and on-budget. There are a variety of reasons why this may occur. For some of these reasons (notably deterioration of the codebase), corrective action is often difficult to cost-justify or to implement efficiently in practice. To address this, an approach of lightweight risk mitigation is proposed: mine risk data from configuration management and defect tracking systems, integrate this data with project-cost data in a flexible dashboard, and facilitate strategic refactoring with semi-custom transforms where necessary. This prescriptive information would simultaneously help the project manager to cost-justify repair efforts and lowers the cost of finding and fixing hot spots.","PeriodicalId":201749,"journal":{"name":"Fourth International Workshop on Mining Software Repositories (MSR'07:ICSE Workshops 2007)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fourth International Workshop on Mining Software Repositories (MSR'07:ICSE Workshops 2007)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MSR.2007.16","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Many software projects fail to deliver their needed results on-time and on-budget. There are a variety of reasons why this may occur. For some of these reasons (notably deterioration of the codebase), corrective action is often difficult to cost-justify or to implement efficiently in practice. To address this, an approach of lightweight risk mitigation is proposed: mine risk data from configuration management and defect tracking systems, integrate this data with project-cost data in a flexible dashboard, and facilitate strategic refactoring with semi-custom transforms where necessary. This prescriptive information would simultaneously help the project manager to cost-justify repair efforts and lowers the cost of finding and fixing hot spots.