Towards a Formal Model for Optimal Task-Site Allocation and Effort Estimation in Global Software Development

N. Narendra, Karthikeyan Ponnalagu, N. Zhou, Wesley M. Gifford
{"title":"Towards a Formal Model for Optimal Task-Site Allocation and Effort Estimation in Global Software Development","authors":"N. Narendra, Karthikeyan Ponnalagu, N. Zhou, Wesley M. Gifford","doi":"10.1109/SRII.2012.58","DOIUrl":null,"url":null,"abstract":"Motivated by the desire to cut costs and development effort, software organizations have increasingly adopted a global development approach. However, the cost savings, if any, from this globalization, is often offset by hidden costs such as handoffs between sites, synchronization of development among sites, integration of software developed at distributed sites, language/cultural issues, travel costs, communication costs, etc. Although several empirical studies have been conducted on this issue, due to the lack of an integrated formal model, such studies have not produced consistent and usable results. To that end, in this paper, we present an integrated formal model for analyzing global software development. Our model comprises two parts. First, we consider all tasks in a software project that can be geographically distributed, and the possible sites where they can be allocated. We develop an optimal task-site allocation model. Our approach then generates an effort estimate for the new allocation, which is based on the following factors: expected general percentage allocation of overall effort estimate to each task in the development lifecycle, and effort estimate for executing a task at a particular site (in terms of the effort estimate for executing the same task at the home site, viz., without globalization). The final effort estimate is therefore derived as a function of the effort estimate for executing the overall software project in the home site; this estimate provides project managers with a more accurate understanding of expected cost savings from globalization, if any. Throughout our paper, we illustrate our approach using a real global software development project at IBM as a running example.","PeriodicalId":110778,"journal":{"name":"2012 Annual SRII Global Conference","volume":"86 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Annual SRII Global Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SRII.2012.58","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 17

Abstract

Motivated by the desire to cut costs and development effort, software organizations have increasingly adopted a global development approach. However, the cost savings, if any, from this globalization, is often offset by hidden costs such as handoffs between sites, synchronization of development among sites, integration of software developed at distributed sites, language/cultural issues, travel costs, communication costs, etc. Although several empirical studies have been conducted on this issue, due to the lack of an integrated formal model, such studies have not produced consistent and usable results. To that end, in this paper, we present an integrated formal model for analyzing global software development. Our model comprises two parts. First, we consider all tasks in a software project that can be geographically distributed, and the possible sites where they can be allocated. We develop an optimal task-site allocation model. Our approach then generates an effort estimate for the new allocation, which is based on the following factors: expected general percentage allocation of overall effort estimate to each task in the development lifecycle, and effort estimate for executing a task at a particular site (in terms of the effort estimate for executing the same task at the home site, viz., without globalization). The final effort estimate is therefore derived as a function of the effort estimate for executing the overall software project in the home site; this estimate provides project managers with a more accurate understanding of expected cost savings from globalization, if any. Throughout our paper, we illustrate our approach using a real global software development project at IBM as a running example.
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
面向全局软件开发中最优任务地点分配和工作量估算的形式化模型
由于希望削减成本和开发工作,软件组织越来越多地采用全球开发方法。然而,这种全球化带来的成本节约(如果有的话)经常被隐藏的成本所抵消,例如站点之间的切换、站点之间的同步开发、分布式站点开发的软件集成、语言/文化问题、旅行成本、通信成本等。虽然对这一问题进行了一些实证研究,但由于缺乏一个完整的形式模型,这些研究并没有得出一致和可用的结果。为此,在本文中,我们提出了一个集成的形式化模型来分析全局软件开发。我们的模型由两部分组成。首先,我们考虑软件项目中所有可以在地理上分布的任务,以及它们可以被分配的可能位置。我们建立了一个最优的任务地点分配模型。我们的方法然后为新的分配生成一个工作量估计,它基于以下因素:开发生命周期中对每个任务的总体工作量估计的预期总体百分比分配,以及在特定地点执行任务的工作量估计(根据在主站点执行相同任务的工作量估计,即,没有全球化)。因此,最终的工作量估计是作为在主站点执行整个软件项目的工作量估计的函数派生出来的;这个估计为项目经理提供了一个更准确的理解,如果有的话,可以从全球化中节省预期的成本。在本文中,我们使用IBM的一个真实的全球软件开发项目作为运行示例来说明我们的方法。
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
Optimizing Service Selection in Dynamic Workflow Composition: Using Social Media to Develop Recommendations Model Driven Provisioning in Multi-tenant Clouds An Innovative System for Remote and Automated Testing of Mobile Phone Applications How Japanese Traditional "Omonpakari" Services are Delivered - A Multidisciplinary Approach Characterizing Service Assurance for Cloud-Based Implementations: Augmenting Assurance via Operations
×
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