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Framework for Maintainability Measurement of Web Application for Efficient Knowledge-Sharing on Campus Intranet

机译:Web应用程序培养性测量框架在校园内网上有效的知识共享

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Web Application is placed and accessed over a network, which could be an intranet, extranet or the internet. An intranet is identified as an ideal platform for knowledge- sharing and collaboration in organizations, or institutions. But it is at times hampered by maintainability issue which indeed is a key quality attribute of web applications. This paper presents an explicit description of a process for prediction of maintainability of web application based on design metrics and statistical approach. The work investigates whether a set of measures identified for UML class diagram structural properties (size, complexity, coupling, cohesion) could be good predictors of class diagram maintainability based on the sub-characteristics; understandability, analyzability, and modifiability. Results indicate that useful prediction models can be built from the measures and identified the strongest predictors from the proposed metrics. This framework can be applied to construct maintainability prediction models to control the maintenance tasks of the system and promote efficient collaboration in university campus.
机译:在网络上放置并访问Web应用程序,该网络可能是Intranet,外联网或Internet。 Intranet被识别为组织或机构在组织中的知识共享和协作的理想平台。但它有时受到维护问题的妨碍,这确实是Web应用程序的关键质量属性。本文介绍了基于设计度量和统计方法预测Web应用程序可维护性的过程的明确描述。该工作调查了针对UML类图结构属性(大小,复杂性,耦合,内聚力)确定的一组措施是否可以是基于子特征的类图的良好预测因子;可辨,分析性和可修改性。结果表明,可以从措施中构建有用的预测模型,并识别来自所提出的指标的最强预测因子。该框架可以应用于构建可维护性预测模型,以控制系统的维护任务,促进大学校园的高效合作。

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