• DocumentCode
    2360279
  • Title

    A Novel Fuzzy Logic Based Software Component Selection Modeling

  • Author

    Nazir, Shah ; Khan, Muhammad Amir ; Anwar, Sajid ; Khan, Humaira ; Nazir, Muhammad

  • Author_Institution
    Inst. of Manage. Sci., Peshawar, Pakistan
  • fYear
    2012
  • fDate
    23-25 May 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Software component selection is the most important part of component based software development. A large amount of time is invested in searching and selecting the most appropriate component from component repository. Different methods are used to select components quickly and efficiently. In the proposed method we have used part of off the shelf option and fuzzy logic methodology for components selection. The proposed methodology incorporates several important factors such as efficiency, reusability, portability, functionality, security, testability and maintenance. The methodology is illustrated and evaluated using hypothetical case study.
  • Keywords
    fuzzy logic; fuzzy reasoning; fuzzy set theory; object-oriented programming; security of data; software maintenance; software portability; software reliability; software reusability; component based software development; component repository; component searching; fuzzy inference system; fuzzy logic; fuzzy set theory; off the shelf option; software component selection modeling; software efficiency; software functionality; software maintenance; software portability; software reusability; software security; software testability; Electronic mail; Fuzzy logic; Maintenance engineering; Programming; Security; Software systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Applications (ICISA), 2012 International Conference on
  • Conference_Location
    Suwon
  • Print_ISBN
    978-1-4673-1402-2
  • Type

    conf

  • DOI
    10.1109/ICISA.2012.6220925
  • Filename
    6220925