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首页> 外文会议>IET-UK 3rd International on Sustainable Energy and Intelligent Systems >Coupling and cohesion metrics in Java for adaptive reusability risk reduction
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Coupling and cohesion metrics in Java for adaptive reusability risk reduction

机译：Java中的耦合和内聚度量标准，可降低自适应重用性风险

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摘要

Software development has nowadays evolved into a extreme change that uses the best modules being run in various closed and open source software. Extracting the best component and fit them into an ongoing component based development software poses great challenges to run the software error free with desired outcomes. In this proposal we have introduced an Intelligent Risk Analysis Model (IRAM) for reusability in developing component service oriented software, which are developed using eminent object oriented programming language paradigm Java. This model performs surfing operation into Java object oriented programming modules warehouse, which consists of several availability modules of various projects, and gives a list of suitable module. Those modules are tested on cohesion /coupling testing analysis to determine the individual strength and binding capacity of modules before performing Regression test. Final desirable outcomes are tested on performing regression test while integrating successful level module with domain being developed and proper deployment is made on successful expected outcome of the product. Risk analysis of software project is analyzed for transformation of reusability components risk before transformation Analysis, adaptable risk Analysis, and reusability risk Analysis for package in Java programming. In this paper IRAM model to focus Java package the domain and size of package, integration and dependency relationship of package, measuring the coupling and cohesion in risk metric for development and implementation of reusability package without any risk factor.
机译：如今，软件开发已演变为一种极端的变化，它使用在各种封闭和开源软件中运行的最佳模块。提取最佳组件并将其安装到正在进行的基于组件的开发软件中，要想以期望的结果实现软件的无错误运行，将带来巨大的挑战。在此提案中，我们引入了智能风险分析模型（IRAM），用于在开发面向组件服务的软件中的可重用性，该组件是使用著名的面向对象的编程语言范例Java开发的。该模型在Java面向对象的编程模块仓库中执行冲浪操作，该仓库由各个项目的几个可用性模块组成，并给出了合适的模块列表。在执行回归测试之前，对这些模块进行内聚/耦合测试分析，以确定模块的单个强度和结合能力。在执行成功的回归测试时测试最终的理想结果，同时将成功的级别模块与正在开发的域集成在一起，并根据产品的成功预期结果进行适当的部署。在Java程序包中，对软件项目的风险分析进行了分析，以进行可重用性组件风险的转换，然后进行转换分析，适应性风险分析和可重用性风险分析。本文的IRAM模型关注Java包的域和大小，包的集成和依赖关系，测量风险度量中的耦合和内聚性，以开发和实现可重用性包而没有任何风险因素。

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