• DocumentCode
    2691596
  • Title

    Analysis of Developing Enterprise Quality Credit Classified Supervision System Based on B/S Model

  • Author

    Zhou, Li ; Xian, Kui-tong ; Li, Bao

  • Author_Institution
    China Nat. Inst. of Standardization, Beijing, China
  • fYear
    2009
  • fDate
    16-17 May 2009
  • Firstpage
    500
  • Lastpage
    505
  • Abstract
    The operation of enterprise quality credit classified supervision was the core operation of enterprise quality credit information data system. By expounding the system structure of B/S model, the system development thought based on B/S model was been brought forward. Moreover, the system operation description, function description, data description and subsystem partition was been analyzed. The design of system software structure based on B/S model was been formed, which included the partition of system operation module, the design of three layers of system structure and the realizing method. Finally, the development traits of operation system of enterprise quality credit classified supervision based on B/S model was been summarized. The important meaning of system development based on B/S model for quality supervision work was been put forward.
  • Keywords
    financial data processing; systems analysis; B-S model; data description; enterprise quality credit classified supervision system; enterprise quality credit information data system; function description; subsystem partition; system operation description; system software structure design; Application software; Data engineering; Database systems; Management information systems; Network servers; Quality management; Real time systems; Standardization; Statistical analysis; Web server; B/S model; data; enterprise quality credit classified supervision system; operation module; system structure;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Engineering and Electronic Commerce, 2009. IEEC '09. International Symposium on
  • Conference_Location
    Ternopil
  • Print_ISBN
    978-0-7695-3686-6
  • Type

    conf

  • DOI
    10.1109/IEEC.2009.111
  • Filename
    5175168