• DocumentCode
    2768169
  • Title

    Software complexity: A fuzzy logic approach

  • Author

    Sabharwal, Sangeeta ; Sibal, Ritu ; Kaur, Preeti

  • Author_Institution
    Dept. of Comput. Eng. & Inf. Technol., Netaji Subhas Inst. of Technol., Delhi, India
  • fYear
    2012
  • fDate
    19-20 Oct. 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Software complexity is one of the important quality attribute and predicting complexity is a difficult task for software engineers. Current measures can be used to compute complexity but these methods are not sufficient. New methods or paradigms are being searched for predicting complexity because complexity prediction can help us in estimating many other quality attributes like testability and maintainability. The main goal of this paper is to explore the role of new paradigms like fuzzy logic in complexity prediction. In this paper we have proposed a fuzzy logic based approach to predict software complexity.
  • Keywords
    fuzzy logic; program testing; software maintenance; software metrics; software quality; fuzzy logic approach; maintainability; quality attribute; software complexity; testability; Complexity theory; Computers; Fuzzy logic; Measurement; Pragmatics; Software; Testing; cyclomatic complexity; essential complexity; fuzzy logic; looping depth;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication, Information & Computing Technology (ICCICT), 2012 International Conference on
  • Conference_Location
    Mumbai
  • Print_ISBN
    978-1-4577-2077-2
  • Type

    conf

  • DOI
    10.1109/ICCICT.2012.6398233
  • Filename
    6398233