• DocumentCode
    3129003
  • Title

    Architectural Maintenance Using a Data Warehouse System for Availability Analysis

  • Author

    Buren, G. ; Ruckert, C.

  • Author_Institution
    Bilren & Partner Software-Design, Nuremberg
  • fYear
    2009
  • fDate
    24-27 March 2009
  • Firstpage
    307
  • Lastpage
    308
  • Abstract
    This paper describes the usage of an architecture centric quality engineering approach to improve the availability of an existing system during maintenance. In most projects existing software is extended or modified to fit new or modified requirements. A crucial subset of the requirements are non-functional requirements, also known as quality attributes. Here the quality attribute availability is in the main focus. The goal of the described approach is architectural re-design to improve the availability of the system. In order to make a profound decision on architectural changes the availability as well as the architecture of the existing system was analyzed in detail. For the availability analysis runtime data of the system was collected and analyzed using a data warehouse system. The use of the re-design process for increased availability was very effective in increasing the availability of the system. The efficiency of the process still needs to be improved.
  • Keywords
    data warehouses; software architecture; software maintenance; software quality; architectural maintenance; availability analysis; data warehouse system; modified requirements; Availability; Computer architecture; Data analysis; Data engineering; Data warehouses; Reverse engineering; Runtime; Software architecture; Software maintenance; Technological innovation; Architecture; Availability; Data Warehouse; Maintenance; Re-Design;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Maintenance and Reengineering, 2009. CSMR '09. 13th European Conference on
  • Conference_Location
    Kaiserslautern
  • ISSN
    1534-5351
  • Print_ISBN
    978-0-7695-3589-0
  • Type

    conf

  • DOI
    10.1109/CSMR.2009.25
  • Filename
    4812778