• 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