Further comparison of cross-company and within-company effort estimation models for Web applications

E. Mendes, B. Kitchenham
{"title":"Further comparison of cross-company and within-company effort estimation models for Web applications","authors":"E. Mendes, B. Kitchenham","doi":"10.1109/METRICS.2004.24","DOIUrl":null,"url":null,"abstract":"This paper extends a previous study, using data on 67 Web projects from the Tukutuku database, investigating to what extent a cross-company cost model can be successfully employed to estimate effort for projects that belong to a single company, where no projects from this company were used to build the cross-company model. Our within-company model employed data on 14 Web projects from a single Web company. Our results were similar to those from the previous study, showing that predictions based on the within-company model were significantly more accurate than those based on the cross-company model. We also found that predictions were very poor when the within-company cost model was used to estimate effort for 53 Web projects from different companies. We analysed the data using two techniques, forward stepwise regression and case-based reasoning. We found estimates produced using stepwise regression models were better for the within company model while case-based reasoning predictions were better for the cross-company model.","PeriodicalId":261807,"journal":{"name":"10th International Symposium on Software Metrics, 2004. Proceedings.","volume":"57 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"154","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"10th International Symposium on Software Metrics, 2004. Proceedings.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/METRICS.2004.24","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 154

Abstract

This paper extends a previous study, using data on 67 Web projects from the Tukutuku database, investigating to what extent a cross-company cost model can be successfully employed to estimate effort for projects that belong to a single company, where no projects from this company were used to build the cross-company model. Our within-company model employed data on 14 Web projects from a single Web company. Our results were similar to those from the previous study, showing that predictions based on the within-company model were significantly more accurate than those based on the cross-company model. We also found that predictions were very poor when the within-company cost model was used to estimate effort for 53 Web projects from different companies. We analysed the data using two techniques, forward stepwise regression and case-based reasoning. We found estimates produced using stepwise regression models were better for the within company model while case-based reasoning predictions were better for the cross-company model.
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
进一步比较跨公司和公司内部的Web应用程序工作量估算模型
本文扩展了先前的研究,使用来自Tukutuku数据库的67个Web项目的数据,调查跨公司成本模型在多大程度上可以成功地用于估计属于单个公司的项目的工作量,而该公司没有使用该公司的项目来构建跨公司模型。我们的公司内部模型使用了来自单个Web公司的14个Web项目的数据。我们的研究结果与之前的研究结果相似,基于公司内部模型的预测明显比基于跨公司模型的预测更准确。我们还发现,当使用公司内部成本模型来估计来自不同公司的53个Web项目的工作量时,预测结果非常糟糕。我们使用两种技术分析数据,即前向逐步回归和基于案例的推理。我们发现使用逐步回归模型产生的估计对于公司内部模型更好,而基于案例的推理预测对于跨公司模型更好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
The necessity of assuring quality in software measurement data Resource estimation for Web applications A survey on software estimation in the Norwegian industry A controlled experiment for evaluating a metric-based reading technique for requirements inspection Assessing usability through perceptions of information scent
×
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