挖掘Jazz存储库:挑战和机遇

Kim Herzig, A. Zeller
{"title":"挖掘Jazz存储库:挑战和机遇","authors":"Kim Herzig, A. Zeller","doi":"10.1109/MSR.2009.5069495","DOIUrl":null,"url":null,"abstract":"By integrating various development and collaboration tools into one single platform, the Jazz environment offers several opportunities for software repository miners. In particular, Jazz offers full traceability from the initial requirements via work packages and work assignments to the final changes and tests; all these features can be easily accessed and leveraged for better prediction and recommendation systems. In this paper, we share our initial experiences from mining the Jazz repository. We also give a short overview of the retrieved data sets and discuss possible problems of the Jazz repository and the platform itself.","PeriodicalId":413721,"journal":{"name":"2009 6th IEEE International Working Conference on Mining Software Repositories","volume":"205 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":"{\"title\":\"Mining the Jazz repository: Challenges and opportunities\",\"authors\":\"Kim Herzig, A. Zeller\",\"doi\":\"10.1109/MSR.2009.5069495\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"By integrating various development and collaboration tools into one single platform, the Jazz environment offers several opportunities for software repository miners. In particular, Jazz offers full traceability from the initial requirements via work packages and work assignments to the final changes and tests; all these features can be easily accessed and leveraged for better prediction and recommendation systems. In this paper, we share our initial experiences from mining the Jazz repository. We also give a short overview of the retrieved data sets and discuss possible problems of the Jazz repository and the platform itself.\",\"PeriodicalId\":413721,\"journal\":{\"name\":\"2009 6th IEEE International Working Conference on Mining Software Repositories\",\"volume\":\"205 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-05-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"18\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 6th IEEE International Working Conference on Mining Software Repositories\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MSR.2009.5069495\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 6th IEEE International Working Conference on Mining Software Repositories","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MSR.2009.5069495","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 18

摘要

通过将各种开发和协作工具集成到一个平台中,Jazz环境为软件存储库挖掘者提供了许多机会。特别是,Jazz提供了从初始需求到工作包和工作分配到最终更改和测试的完整可追溯性;所有这些特性都可以很容易地访问并用于更好的预测和推荐系统。在本文中,我们将分享挖掘Jazz存储库的初步经验。我们还简要概述了检索到的数据集,并讨论了Jazz存储库和平台本身可能存在的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Mining the Jazz repository: Challenges and opportunities
By integrating various development and collaboration tools into one single platform, the Jazz environment offers several opportunities for software repository miners. In particular, Jazz offers full traceability from the initial requirements via work packages and work assignments to the final changes and tests; all these features can be easily accessed and leveraged for better prediction and recommendation systems. In this paper, we share our initial experiences from mining the Jazz repository. We also give a short overview of the retrieved data sets and discuss possible problems of the Jazz repository and the platform itself.
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
期刊最新文献
Tracking concept drift of software projects using defect prediction quality Mining the history of synchronous changes to refine code ownership Learning from defect removals Assigning bug reports using a vocabulary-based expertise model of developers Using association rules to study the co-evolution of production & test code
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1