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...

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Bibliographic Details
Main Authors: Colaco Junior, Methanias, Mendonca, Manoel, Rodrigues, Francisco
Format: Conference Proceeding
Language:English
Subjects:
Data mining
History
Maintenance engineering
Measurement
Mining Software Repositories
Software
Software Data Warehouse
Software engineering
Software Engineering Intelligence
Warehousing
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Summary: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.
ISSN:1550-6215
DOI:10.1109/SEW.2009.7