持续特征交付与传统方法的实证研究

Harish Kumar Rai, Ravish Kumar Ojha, Koduru Suresh
{"title":"持续特征交付与传统方法的实证研究","authors":"Harish Kumar Rai, Ravish Kumar Ojha, Koduru Suresh","doi":"10.1109/IATMSI56455.2022.10119246","DOIUrl":null,"url":null,"abstract":"Organizations engaged in development and shipment of software solutions constantly look for deployment models that generate minimum wastage, provide quick response to customer requirements, and resolve issues with minimal response time. Hence this has motivated organizations to move to cloud deployment models for consuming software solutions and to operate intelligently. With cloud adaption there is a necessity to use latest project management methodologies that aid to deliver new features in shorter periods with minimal disruption to customer business processes. In this paper an evaluation is carried out with conventional project management methodologies to realize the pros and cons when intelligent enterprises migrate to cloud deployment strategy. Later a methodology based on continuous feature delivery (CFD) is proposed and compared with conventional methodologies by considering various performance indicators like execution time, efforts, automations, and number of features delivered.","PeriodicalId":221211,"journal":{"name":"2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An Empirical Study on Continuous Feature Delivery and Conventional Methods\",\"authors\":\"Harish Kumar Rai, Ravish Kumar Ojha, Koduru Suresh\",\"doi\":\"10.1109/IATMSI56455.2022.10119246\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Organizations engaged in development and shipment of software solutions constantly look for deployment models that generate minimum wastage, provide quick response to customer requirements, and resolve issues with minimal response time. Hence this has motivated organizations to move to cloud deployment models for consuming software solutions and to operate intelligently. With cloud adaption there is a necessity to use latest project management methodologies that aid to deliver new features in shorter periods with minimal disruption to customer business processes. In this paper an evaluation is carried out with conventional project management methodologies to realize the pros and cons when intelligent enterprises migrate to cloud deployment strategy. Later a methodology based on continuous feature delivery (CFD) is proposed and compared with conventional methodologies by considering various performance indicators like execution time, efforts, automations, and number of features delivered.\",\"PeriodicalId\":221211,\"journal\":{\"name\":\"2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)\",\"volume\":\"39 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IATMSI56455.2022.10119246\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IATMSI56455.2022.10119246","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

从事软件解决方案开发和交付的组织不断地寻找产生最小浪费的部署模型,提供对客户需求的快速响应,并以最小的响应时间解决问题。因此,这促使组织转向使用软件解决方案的云部署模型,并进行智能操作。有了云适应,就有必要使用最新的项目管理方法,这些方法有助于在更短的时间内交付新功能,同时尽量减少对客户业务流程的干扰。本文利用传统的项目管理方法进行评估,以了解智能企业迁移到云部署策略时的利弊。随后提出了一种基于持续特性交付(CFD)的方法,并通过考虑各种性能指标(如执行时间、工作量、自动化程度和交付的特性数量)与传统方法进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Empirical Study on Continuous Feature Delivery and Conventional Methods
Organizations engaged in development and shipment of software solutions constantly look for deployment models that generate minimum wastage, provide quick response to customer requirements, and resolve issues with minimal response time. Hence this has motivated organizations to move to cloud deployment models for consuming software solutions and to operate intelligently. With cloud adaption there is a necessity to use latest project management methodologies that aid to deliver new features in shorter periods with minimal disruption to customer business processes. In this paper an evaluation is carried out with conventional project management methodologies to realize the pros and cons when intelligent enterprises migrate to cloud deployment strategy. Later a methodology based on continuous feature delivery (CFD) is proposed and compared with conventional methodologies by considering various performance indicators like execution time, efforts, automations, and number of features delivered.
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
×
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:481959085
Book学术官方微信