An Empirical Study on Continuous Feature Delivery and Conventional Methods

Harish Kumar Rai, Ravish Kumar Ojha, Koduru Suresh
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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.
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持续特征交付与传统方法的实证研究
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。
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