• DocumentCode
    2364488
  • Title

    From Early Requirements to Late Requirements Modeling for a Data Warehouse

  • Author

    Singh, Yogesh ; Gosain, Anjana ; Kumar, Manoj

  • Author_Institution
    Univ. Sch. of Inf. Technol., Guru Gobind Singh Indraprastha Univ., Delhi, India
  • fYear
    2009
  • fDate
    25-27 Aug. 2009
  • Firstpage
    798
  • Lastpage
    804
  • Abstract
    In recent years, a number of requirements engineering (RE) proposals for a data warehouse (DW) systems have been made. In the traditional/operational systems, requirements engineering has been divided into two phases: early & late requirements engineering phase. Most of the data warehouse requirements engineering (DWRE) approaches have not distinguished early requirements engineering phase from late requirements engineering phase. A very few approaches are seen in the literature that explicitly model early & late requirements for a DW. In this paper, we propose an agent-oriented approach having support from early requirements to late requirements modeling for a data warehouse. Here, the early requirements have been modeled through two models: organization model and goal model whereas late requirements are modeled through decision model. The proposed approach is illustrated through an example of the university for which DW is to be built to support decisional goals.
  • Keywords
    data warehouses; formal specification; formal verification; object-oriented programming; agent-oriented approach; data warehouse; decision model; early requirements modeling; goal model; late requirements modeling; organization model; requirements engineering proposals; Computer architecture; Computer science; Context modeling; Data engineering; Data warehouses; Decision making; Information technology; Programming; Proposals; Systems engineering and theory; agent; data warehouse; early requirements engineering; late requirements engineering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    INC, IMS and IDC, 2009. NCM '09. Fifth International Joint Conference on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4244-5209-5
  • Electronic_ISBN
    978-0-7695-3769-6
  • Type

    conf

  • DOI
    10.1109/NCM.2009.226
  • Filename
    5331655