Data Warehouse Testing

被引：1

作者：

Homayouni, Hajar ^{[1
]}

Ghosh, Sudipto ^{[1
]}

Ray, Indrakshi ^{[1
]}

机构：

[1] Colorado State Univ, Ft Collins, CO 80523 USA

来源：

ADVANCES IN COMPUTERS, VOL 112 | 2019年 / 112卷

基金：

美国国家科学基金会;

关键词：

Data warehouse; Extract-Transform-Load; Functional testing; Performance testing; Security testing; Systematic testing;

D O I：

10.1016/bs.adcom.2017.12.005

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

Enterprises use data warehouses to accumulate data from multiple sources for data analysis and research. Since organizational decisions are often made based on the data stored in a data warehouse, all its components must be rigorously tested. Researchers have proposed a number of approaches and tools to test and evaluate different components of data warehouse systems. In this chapter, we present a comprehensive survey of data warehouse testing techniques. We define a classification framework that can categorize the existing testing approaches. We also discuss open problems and propose research directions.

引用

页码：223 / 273

页数：51

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