• DocumentCode
    3471675
  • Title

    Approximate reasoning about software models

  • Author

    Ramanna, Sheela

  • Author_Institution
    Dept. of Appl. Comput. Sci., Winnipeg Univ., Man., Canada
  • Volume
    2
  • fYear
    2004
  • fDate
    27-30 June 2004
  • Firstpage
    791
  • Abstract
    This article introduces an approximating reasoning approach to evaluating models for system design relative to a system design standard. A fundamental problem in system design is that feature values extracted from experimental design models tend not to match exactly patterns associated with standard design models. It is not generally known how to measure the extent that a particular system design conforms to a standard design pattern. The rough set approach introduced by Zdzislaw Pawlak provides a basis for concluding to what degree a particular model for a system design is a part of a set of a set of models representing a standard. Sample models exhibiting selected behavioral design patterns are briefly considered by way of illustration of design model approximation. In this paper, an approximation space for design patterns is introduced. In addition, an approach to the satisfaction-based classification of design models is also presented.
  • Keywords
    inference mechanisms; reverse engineering; rough set theory; systems analysis; uncertain systems; approximate reasoning; feature extraction; reverse engineering; rough set approach; satisfaction-based classification; software models; systems design; Computer architecture; Computer science; Context modeling; Design for experiments; Feature extraction; Measurement standards; Particle measurements; Rough sets; Software design; Unified modeling language;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Information, 2004. Processing NAFIPS '04. IEEE Annual Meeting of the
  • Print_ISBN
    0-7803-8376-1
  • Type

    conf

  • DOI
    10.1109/NAFIPS.2004.1337403
  • Filename
    1337403