• DocumentCode
    1110216
  • Title

    A probability model for analysing complexity metrics data

  • Author

    Mayer, Alan ; Sykes, Alan

  • Author_Institution
    Dept. of Manage. Sci. & Stat., Univ. Coll. of Swansea, UK
  • Volume
    4
  • Issue
    5
  • fYear
    1989
  • fDate
    9/1/1989 12:00:00 AM
  • Firstpage
    254
  • Lastpage
    258
  • Abstract
    Previous work on the relationship between the McCabe complexity metric and lines of code fails to recognise that such data are discrete. A discrete probability model is proposed which enables outliers to be detected, and offers information about parameters meaningful to the software engineer
  • Keywords
    probability; software engineering; McCabe complexity metric; complexity metrics data; decision codes; lines of code; outliers; probability model; software engineer;
  • fLanguage
    English
  • Journal_Title
    Software Engineering Journal
  • Publisher
    iet
  • ISSN
    0268-6961
  • Type

    jour

  • Filename
    42958