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A systematic approach for web engineering practices by integrating data mining technique with requirement change management

机译:通过将数据挖掘技术与需求变更管理相集成的网络工程实践的系统方法

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Web engineering practices are used to build web based software developments. To successfully develop web based application developers need a systematic model. To manage the changes in requirements is a challenging task for web application development. We presents a model for improved version of web engineering practice using Data Mining technique along with the effective usage of requirement change management. Structured and semi structured research methods are used to interview as reputed organization experts. Control experiment is also used for evaluating the Data Mining technique with requirement change management. This model improves the existing web development practices using AI technique. Expert's reviews are used to evaluate this study. The model provides a guideline to the team of developers for developing any web based application.
机译:Web工程实践用于构建基于Web的软件开发。为了成功开发基于Web的应用程序,开发人员需要一个系统的模型。对于Web应用程序开发来说,管理需求的变化是一项艰巨的任务。我们提供了一种使用数据挖掘技术以及有效使用需求变更管理的改进版Web工程实践模型。使用结构化和半结构化研究方法作为知名组织专家进行面试。控制实验还用于评估具有需求变更管理的数据挖掘技术。该模型使用AI技术改进了现有的Web开发实践。专家的评论被用来评估这项研究。该模型为开发人员团队提供了开发任何基于Web的应用程序的指南。

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