• DocumentCode
    3603961
  • Title

    Improvements to the Function Point Analysis Method: A Systematic Literature Review

  • Author

    de Freitas Junior, Marcos ; Fantinato, Marcelo ; Sun, Violeta

  • Author_Institution
    Sch. of Sci., Arts & Humanities, Univ. of Sao Paulo, Sao Paulo, Brazil
  • Volume
    62
  • Issue
    4
  • fYear
    2015
  • Firstpage
    495
  • Lastpage
    506
  • Abstract
    Function point analysis (FPA) is a standardized method to systematically measure the functional size of software. This method is proposed by an international organization and it is currently recommended by governments and organizations as a standard method to be adopted for this type of measurement. This paper presents a compilation of improvements, focused on increasing the accuracy of the FPA method, which have been proposed over the past 13 years. The methodology used was a systematic literature review (SLR), which was conducted with four research questions aligned with the objectives of this study. As a result of the SLR, of the 1600 results returned by the search engines, 454 primary studies were preselected according to the criteria established for the SLR. Among these studies, only 18 specifically referred to accuracy improvements for FPA, which was the goal of this study. The low number of studies that propose FPA improvements might demonstrate the maturity of the method in the current scenario of software metrics. Specifically in terms of found issues, it was found that the step for calculating the functional size exhibited the highest number of problems, indicating the need to revise FPA in order to encompass the possible improvements suggested by the researchers.
  • Keywords
    government; organisational aspects; reviews; search engines; software cost estimation; software metrics; FPA improvements; SLR; function point analysis method; government; international organization; software functional size; software metrics; standardized method; systematic literature review; time 13 year; Accuracy; Artificial intelligence; Complexity theory; ISO Standards; Software; Software measurement; Accuracy improvement; function point analysis (FPA); systematic literature review (SLR);
  • fLanguage
    English
  • Journal_Title
    Engineering Management, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9391
  • Type

    jour

  • DOI
    10.1109/TEM.2015.2453354
  • Filename
    7165621