• DocumentCode
    2266275
  • Title

    A systematic review of software maintainability prediction and metrics

  • Author

    Riaz, Mehwish ; Mendes, Emilia ; Tempero, Ewan

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Auckland, Auckland, New Zealand
  • fYear
    2009
  • fDate
    15-16 Oct. 2009
  • Firstpage
    367
  • Lastpage
    377
  • Abstract
    This paper presents the results of a systematic review conducted to collect evidence on software maintainability prediction and metrics. The study was targeted at the software quality attribute of maintainability as opposed to the process of software maintenance. The evidence was gathered from the selected studies against a set of meaningful and focused questions. 710 studies were initially retrieved; however of these only 15 studies were selected; their quality was assessed; data extraction was performed; and data was synthesized against the research questions. Our results suggest that there is little evidence on the effectiveness of software maintainability prediction techniques and models.
  • Keywords
    software maintenance; software metrics; software quality; data extraction; software maintainability prediction; software metrics; software quality attribute; systematic review; Costs; Predictive models; Software engineering; Software maintenance; Software measurement; Software performance; Software quality; Software systems; State estimation; Strontium;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Empirical Software Engineering and Measurement, 2009. ESEM 2009. 3rd International Symposium on
  • Conference_Location
    Lake Buena Vista, FL
  • ISSN
    1938-6451
  • Print_ISBN
    978-1-4244-4842-5
  • Electronic_ISBN
    1938-6451
  • Type

    conf

  • DOI
    10.1109/ESEM.2009.5314233
  • Filename
    5314233