• DocumentCode
    1612745
  • Title

    Applying evolution programming Search Based Software Engineering (SBSE) in selecting the best open source software maintainability metrics

  • Author

    Bakar, A.D. ; Sultan, Abu Bakar ; Zulzalil, Hazura ; Din, Jafri

  • Author_Institution
    Fac. of Comput. Sci. & Inf. Technol., Univ. Putra Malaysia, Serdang, Malaysia
  • fYear
    2012
  • Firstpage
    70
  • Lastpage
    73
  • Abstract
    The nature of an Open Source Software development paradigm forces individual practitioners and organization to adopt software through trial and error approach. This leads to the problems of coming across software and then abandoning it after realizing its lack of important qualities to suit their requirements or facing negative challenges in maintaining the software. These contributed by lack of recognizing guidelines to lead the practitioners in selecting out of the dozens available metrics, the best metric(s) to measure quality OSS. In this study, the novel results provide the guidelines that lead to the development of metrics model that can select the best metric(s) to predict maintainability of Open Source Software.
  • Keywords
    evolutionary computation; organisational aspects; public domain software; software maintenance; OSS; SBSE; evolution programming; open source software maintainability metrics; search based software engineering; trial and error approach; Evolution (biology); Measurement; Open source software; Programming; Sociology; Software engineering; Evolutionary Programming; Maintainability; Open Source Software; Search Base Software Engineering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Applications and Industrial Electronics (ISCAIE), 2012 IEEE Symposium on
  • Conference_Location
    Kota Kinabalu
  • Print_ISBN
    978-1-4673-3032-9
  • Type

    conf

  • DOI
    10.1109/ISCAIE.2012.6482071
  • Filename
    6482071