• DocumentCode
    2297695
  • Title

    Inter-item correlations among function points

  • Author

    Kitchenham, Barbara ; Känsälä, Kari

  • Author_Institution
    Nat. Computing Centre Ltd., Manchester, UK
  • fYear
    1993
  • fDate
    17-21 May 1993
  • Firstpage
    477
  • Lastpage
    480
  • Abstract
    Reports on an empirical investigation of Albrecht function points. They investigated the constituent elements of the function point counts to determine whether all the elements are required to provide a valid measure of size; whether the sum of all the elements is a better predictor of effort than the constituent elements; and whether the complexity adjustments are necessary. The study suggests that function points are not well-formed metrics because there is a correlation between their constituent elements. It also suggests that for the dataset under investigation, two of the constituent elements were as good at predicting effort as the raw function point count and that the unweighted counts can be reasonable predictors of effort
  • Keywords
    software metrics; Albrecht function points; complexity adjustments; constituent elements; effort prediction; function point counts; inter-item correlation; software metrics; unweighted counts; Availability; Data analysis; Hardware; Insurance; Management training; Marketing and sales; Predictive models; Productivity; Scattering; Size measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering, 1993. Proceedings., 15th International Conference on
  • Conference_Location
    Baltimore, MD
  • ISSN
    0270-5257
  • Print_ISBN
    0-8186-3700-5
  • Type

    conf

  • DOI
    10.1109/ICSE.1993.346018
  • Filename
    346018