Neural Network Based Patterns Detection in Object-Oriented Program

A. Dwivedi, S. K. Rath, Shashank Mouli Satapathy
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引用次数: 1

Abstract

These days, different design methodologies are proposed for actualizing various types of answers for the product wanted for complex frameworks. Among them design patterns are as often as possible used to develop the object oriented program. The Determination of design patterns in open source program empowers the viability of conventional question situated projects. The proposed system demonstrates the assurance of software patterns in open source program. The procedure of pattern retrieval is carried out by utilizing quality estimation parameters e.g., programming measurements. The introduced strategy considers different sort of neural network models to decide the existence of patterns in open source framework. The proposed method is assessed by utilizing an open source program e.g., MapperXML.
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面向对象程序中基于神经网络的模式检测
如今,针对复杂框架所需的产品,提出了不同的设计方法来实现不同类型的答案。其中设计模式是开发面向对象程序时尽可能多地使用的一种方法。开源程序中设计模式的确定增强了传统问题定位项目的可行性。该系统演示了开源程序中软件模式的保证。模式检索的过程是通过利用质量估计参数,如编程测量来实现的。引入的策略考虑了不同类型的神经网络模型来确定开源框架中模式的存在性。利用开源程序MapperXML对所提出的方法进行了评估。
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