• DocumentCode
    2177074
  • Title

    A method and tool support for variant requirements analysis: goal and scenario based approach

  • Author

    Kim, Jintae ; Kim, Minseong ; Yang, Hwasil ; Park, Sooyong

  • Author_Institution
    Dept. of Comput. Sci., Sogang Univ., Seoul, South Korea
  • fYear
    2004
  • fDate
    30 Nov.-3 Dec. 2004
  • Firstpage
    168
  • Lastpage
    175
  • Abstract
    Identifying and representing variant requirements among products in a product family are crucial activities for a successful software reuse. The variant requirements should be not only identified based on the business goal, which drives marketing plan, product plan, and differences among products, but also represented as familiar notations in order to support developing a particular product in the product family. Thus, our proposal is to identify the variant requirements through goals and scenarios, and represent them as variable use cases for a product family. Especially, for identification of the variant requirements, we propose four abstraction levels of requirements in the product family, and goal and scenario modeling. For representation of them, variable use case model is suggested, and also the use case transfer rules are proposed so as to bridge the gap between the identification and representation activity. The paper illustrates the application of the approach within a supporting tool, namely DREAM (Domain REquirements Analysis Method) using the ATM example.
  • Keywords
    formal specification; software reusability; software tools; systems analysis; Domain REquirements Analysis Method; abstraction levels; software reuse; use case transfer rules; variant requirements analysis; Bridges; Computer science; Industrial relations; Proposals; Software engineering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering Conference, 2004. 11th Asia-Pacific
  • ISSN
    1530-1362
  • Print_ISBN
    0-7695-2245-9
  • Type

    conf

  • DOI
    10.1109/APSEC.2004.4
  • Filename
    1371917