Adapting function point analysis to estimate data mart size

A. Calazans, K. Oliveira, R. R. D. Santos
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引用次数: 5

Abstract

To better control the time, cost and resources assigned to software projects, organizations need a proper estimate of their size even before the projects actually start. Accordingly, several approaches were proposed to estimate the size of a software project, as the well-known function point analysis (FPA), which is largely used in traditional software development projects. However, we observed in our company that it is not fit for data mart software measurement. Data mart (DM) systems have particularities in their development that are different from the traditional software systems (e.g. a DM uses other software systems as data sources and does not create new information). It is important, therefore, to have a measurement approach that considers those particularities while measuring the DM size. We present an adaptation of the FPA approach for DM size measurement and discuss results on 10 data marts project developed in the industry.
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采用功能点分析来估计数据集市的大小
为了更好地控制分配给软件项目的时间、成本和资源,组织需要在项目实际开始之前对其规模进行适当的估计。因此,提出了几种方法来估计软件项目的规模,如众所周知的功能点分析(FPA),它在传统的软件开发项目中大量使用。然而,我们在公司观察到它不适合数据集市软件度量。数据集市(DM)系统在其开发中具有不同于传统软件系统的特殊性(例如,DM使用其他软件系统作为数据源,而不创建新信息)。因此,在测量DM大小时,有一种考虑到这些特殊性的测量方法是很重要的。我们提出了一种适用于DM尺寸测量的FPA方法,并讨论了在行业中开发的10个数据市场项目的结果。
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