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Construct Quality Index System of Foundational Software Platform Using Improved PCA Method

机译:使用改进的PCA方法构建基础软件平台的质量指标体系

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As a result of the trend of platform, network, service-oriented appeared during the process of software development, the Foundational Software Platform (FSP), as a kind of software modality, has received more and more attention. However, as it has been widely used, the measurement on FSP cannot be implemented effectively, which further influence the quality of its upper applications. This, to a great extent, is because of the uniqueness of basic software platform. There is no a scientific method which can be used to determine its quality index system. This paper proposes an improved method of Principle Components Analysis to create appropriate quality index system for FSP. This method can integrate a series of indicators into a few comprehensive ones like the Principle Component Analysis (PCA). Meantime, it could handle the situation of vague or large amount of indicators, which is the flaw of the PCA. It guarantees the accuracy and authenticity of the results. Moreover, we verify the quality index system through practice. It has been proven that the quality model is helpful and the Improved PCA approach is useful when constructing index system.
机译:由于平台的趋势,网络,服务导向在软件开发过程中出现,基础软件平台(FSP)作为一种软件模式,已收到越来越多的关注。然而,由于它已被广泛使用,因此不能有效地实现FSP的测量,这进一步影响其上应用的质量。在很大程度上,这是因为基本软件平台的唯一性。没有一种科学方法,可用于确定其质量指标体系。本文提出了一种改进的原理成分分析方法,为FSP创建适当的质量指标系统。该方法可以将一系列指示器集成到几个综合的指标,如原理分量分析(PCA)。同时,它可以处理模糊或大量指标的情况,这是PCA的缺陷。它保证了结果的准确性和真实性。此外,我们通过实践验证质量指标体系。已经证明,质量模型有用,改进的PCA方法在构建指标系统时很有用。

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