使用存储库挖掘的软件开发项目的轻量级风险缓解

S. P. Masticola
{"title":"使用存储库挖掘的软件开发项目的轻量级风险缓解","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":"{\"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}","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

摘要

许多软件项目不能按时、按预算交付所需的结果。造成这种情况的原因有很多。由于其中的一些原因(特别是代码库的退化),纠正操作通常很难在实践中进行成本证明或有效地实现。为了解决这个问题,提出了一种轻量级风险缓解方法:从配置管理和缺陷跟踪系统中挖掘风险数据,将这些数据与项目成本数据集成到一个灵活的仪表板中,并在必要时使用半定制转换促进战略重构。这些规定性信息将同时帮助项目经理对修复工作进行成本证明,并降低查找和修复热点的成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Lightweight Risk Mitigation for Software Development Projects Using Repository Mining
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信