A replicated comparison of cross-company and within-company effort estimation models using the ISBSG database

E. Mendes, C. Lokan, R. Harrison, Chris Triggs
{"title":"A replicated comparison of cross-company and within-company effort estimation models using the ISBSG database","authors":"E. Mendes, C. Lokan, R. Harrison, Chris Triggs","doi":"10.1109/METRICS.2005.4","DOIUrl":null,"url":null,"abstract":"Four years ago was the last time the ISBSG database was used to compare the effort prediction accuracy between cross-company and within-company cost models. Since then more than 2,000 projects have been volunteered to this database, which may have changed the trends previously observed. This paper therefore replicates a previous study by investigating how successful a cross-company cost model is: i) to estimate effort for projects that belong to a single company and were not used to build the cross-company model; ii) compared to a within-company cost model. Our within-company data set had data on 184 software projects from a single company and our cross-company data set employed data on 672 software projects. Our results did not corroborate those from the previous study, showing that predictions based on the within-company model were not significantly more accurate than those based on the cross-company model. We analysed the data using forward stepwise regression","PeriodicalId":402415,"journal":{"name":"11th IEEE International Software Metrics Symposium (METRICS'05)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"63","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"11th IEEE International Software Metrics Symposium (METRICS'05)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/METRICS.2005.4","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 63

Abstract

Four years ago was the last time the ISBSG database was used to compare the effort prediction accuracy between cross-company and within-company cost models. Since then more than 2,000 projects have been volunteered to this database, which may have changed the trends previously observed. This paper therefore replicates a previous study by investigating how successful a cross-company cost model is: i) to estimate effort for projects that belong to a single company and were not used to build the cross-company model; ii) compared to a within-company cost model. Our within-company data set had data on 184 software projects from a single company and our cross-company data set employed data on 672 software projects. Our results did not corroborate those from the previous study, showing that predictions based on the within-company model were not significantly more accurate than those based on the cross-company model. We analysed the data using forward stepwise regression
使用ISBSG数据库对跨公司和公司内部的工作量估算模型进行复制比较
四年前是ISBSG数据库最后一次被用来比较跨公司和公司内部成本模型之间的工作量预测准确性。自那时以来,已有2000多个项目自愿加入这个数据库,这可能改变了以前观察到的趋势。因此,本文通过调查跨公司成本模型的成功程度来复制先前的研究:i)估计属于单个公司且未用于构建跨公司模型的项目的工作量;Ii)与公司内部成本模型相比。我们的公司内部数据集包含来自单个公司的184个软件项目的数据,我们的跨公司数据集使用了来自672个软件项目的数据。我们的研究结果并没有证实之前的研究结果,表明基于公司内部模型的预测并不比基于跨公司模型的预测更准确。我们使用正向逐步回归分析数据
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 求助全文
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:604180095
Book学术官方微信