迈向数据仓库测试框架

Neveen Elgamal, Ali Hamed El Bastawissy, G. Galal-Edeen
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引用次数: 15

摘要

数据仓库(DW)测试是DW开发中非常关键的阶段,因为决策是基于DW产生的信息做出的。因此,测试结果信息的质量将支持DW系统的可信度。提出了许多方法来描述测试过程应该如何在DW环境中进行。在本文中,我们将简要介绍这些测试方法,然后构建DW测试例程的建议矩阵将用于评估和比较这些方法。然后,对比较矩阵的分析将突出现有DW测试方法中存在的弱点。最后,我们将指出实现同构DW测试框架的需求。最后,我们将结束我们的工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards a data warehouse testing framework
Data warehouse (DW) testing is a very critical stage in the DW development because decisions are made based on the information resulting from the DW. So, testing the quality of the resulting information will support the trustworthiness of the DW system. A number of approaches were made to describe how the testing process should take place in the DW environment. In this paper we will present briefly these testing approaches, and then a proposed matrix that structures the DW testing routines will be used to evaluate and compare these approaches. Afterwards an analysis of the comparison matrix will highlight the weakness points that exist in the available DW testing approaches. Finally, we will point out the requirements towards achieving a homogeneous DW testing framework. In the end, we will conclude our work.
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