• DocumentCode
    3127279
  • Title

    A computational architecture to support conceptual data model reuse by analogy

  • Author

    Chaiyasut, P. ; Shanks, Graeme ; Swatman, G.

  • Author_Institution
    Dept. of Inf. Syst., Monash Univ., Clayton, Vic., Australia
  • fYear
    1995
  • fDate
    10-14 Jul 1995
  • Firstpage
    70
  • Lastpage
    79
  • Abstract
    Reuse within requirements specification has attracted great interest in recent years. Analogical retrieval is proposed as a way of reusing requirements specifications from different application domains. The paper presents a computational architecture to support analogical reuse in conceptual data modelling. The architecture synthesises analogical retrieval theories and results from empirical studies. It is suggested that reusing previous models in a CASE tool repository would greatly improve the functionality of CASE tools
  • Keywords
    computer aided software engineering; data structures; formal specification; software libraries; software reusability; subroutines; CASE tool repository; analogical retrieval; analogical retrieval theories; analogical reuse; analogy; application domains; computational architecture; conceptual data model reuse; conceptual data modelling; requirements specification; Computer aided software engineering; Computer architecture; Costs; Data models; Expert systems; Information analysis; Information systems; Knowledge acquisition; Programming; System analysis and design;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer-Aided Software Engineering, 1995. Proceedings., Seventh International Workshop on
  • Conference_Location
    Toronto, Ont.
  • Print_ISBN
    0-8186-7078-9
  • Type

    conf

  • DOI
    10.1109/CASE.1995.465327
  • Filename
    465327