工业软件开发环境中的数据仓库

Methanias Colaço, Manoel G. Mendonça, F. Rodrigues
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引用次数: 14

摘要

数据质量是有效数据挖掘的基础之一。灵活、一致和可扩展的数据存储是有效数据分析的要求之一。15年来,数据库和决策领域的研究人员一直在研究用于数据分析的数据存储库的构建。这些存储库被称为数据仓库,它们是历史数据库,在逻辑上和物理上都与组织生产环境分离,用于存储从该环境收集的数据。数据仓库还包括数据选择、集成和组织方法,以使数据易于在决策过程中访问。基于我们以前挖掘软件存储库的数据仓库的经验,本文提出了一种用于软件开发数据分析的数据仓库方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Data Warehousing in an Industrial Software Development Environment
Data quality is one of the bases for effective data mining. Flexible, consistent and extensible data storage is one of the requirements for effective data analysis. For more than 15 years, researchers in the database and decision making world have been studying the construction of data repositories for data analysis. Named data warehouses, these repositories are historical databases, which are separated both logically and physically from the organization production environment and designed to store data gathered from this environment. Data warehousing also includes data selection, integration and organization approaches to make data easily accessible to the decision making process. Based on our previous experience with data warehousing for mining software repositories, this paper presents a Data Warehousing Approach for software development data analysis.
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