DocumentCode
2852895
Title
Data Warehousing in an Industrial Software Development Environment
Author
Junior, Methanias Colaço ; Mendonça, Manoel ; Rodrigues, Francisco
Author_Institution
Fed. Univ. of Bahia-Salvador, Salvador, Brazil
fYear
2009
fDate
13-14 Oct. 2009
Firstpage
131
Lastpage
135
Abstract
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.
Keywords
Capability Maturity Model; data mining; data warehouses; data analysis; data mining; data quality; data warehousing; historical databases; industrial software development environment; organization production environment; Data mining; History; Maintenance engineering; Measurement; Software; Software engineering; Warehousing; Mining Software Repositories; Software Data Warehouse; Software Engineering Intelligence;
fLanguage
English
Publisher
ieee
Conference_Titel
Software Engineering Workshop (SEW), 2009 33rd Annual IEEE
Conference_Location
Skovde
ISSN
1550-6215
Print_ISBN
978-1-4244-6863-8
Electronic_ISBN
1550-6215
Type
conf
DOI
10.1109/SEW.2009.7
Filename
5621799
Link To Document