Pitfalls of analyzing a cross-company dataset of software maintenance and support

15th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD) Pub Date : 2014-06-01 DOI:10.1109/SNPD.2014.6888729

Masateru Tsunoda, K. Ono

{"title":"Pitfalls of analyzing a cross-company dataset of software maintenance and support","authors":"Masateru Tsunoda, K. Ono","doi":"10.1109/SNPD.2014.6888729","DOIUrl":null,"url":null,"abstract":"It is important to establish a benchmark of work efficiency for software maintenance and support. For maintenance and support service providers, the benchmarking is the basis for improvement of their work. For the service purchasers, it is useful to check work efficiency of contracted service provider. To establish a benchmark of work efficiency for software development activities, a cross-company dataset is often used. Data points included in it are collected from various organizations. ISBSG (International Software Benchmarking Standards Group) builds the cross-company dataset of software maintenance and support. In the analysis, we found some pitfalls when one analyzes ISBSG software maintenance and support dataset. If the pitfalls are ignored, spurious relationships would be found. In this paper, we showed some pitfalls, and how to avoid it. It would be very useful for researchers, because ISBSG software maintenance and support dataset may be widely used in the near future.","PeriodicalId":272932,"journal":{"name":"15th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)","volume":"137 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"15th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SNPD.2014.6888729","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 10

Abstract

It is important to establish a benchmark of work efficiency for software maintenance and support. For maintenance and support service providers, the benchmarking is the basis for improvement of their work. For the service purchasers, it is useful to check work efficiency of contracted service provider. To establish a benchmark of work efficiency for software development activities, a cross-company dataset is often used. Data points included in it are collected from various organizations. ISBSG (International Software Benchmarking Standards Group) builds the cross-company dataset of software maintenance and support. In the analysis, we found some pitfalls when one analyzes ISBSG software maintenance and support dataset. If the pitfalls are ignored, spurious relationships would be found. In this paper, we showed some pitfalls, and how to avoid it. It would be very useful for researchers, because ISBSG software maintenance and support dataset may be widely used in the near future.

查看原文

微信好友朋友圈 QQ好友复制链接

本刊更多论文

分析跨公司软件维护和支持数据集的陷阱

建立软件维护和支持工作效率的基准是非常重要的。对于维护和支持服务提供商而言，基准测试是改进其工作的基础。对于服务购买者来说，检查合同服务提供者的工作效率是有用的。为了建立软件开发活动的工作效率基准，经常使用跨公司的数据集。其中的数据点是从各个组织收集的。ISBSG(国际软件基准标准组织)建立了跨公司的软件维护和支持数据集。在分析中，我们发现在分析ISBSG软件维护和支持数据集时存在一些缺陷。如果忽略陷阱，就会发现虚假的关系。在本文中，我们展示了一些陷阱，以及如何避免它。在不久的将来，ISBSG软件维护和支持数据集可能会得到广泛的应用，这对研究人员来说是非常有用的。

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

15th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)

自引率

0.00%

发文量