• DocumentCode
    2177959
  • Title

    Reliability Prediction of Smartphone Applications through Failure Data Analysis

  • Author

    Meskini, Sonia ; Nassif, Ali Bou ; Capretz, Luiz Fernando

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Western Ontario, London, ON, Canada
  • fYear
    2013
  • fDate
    2-4 Dec. 2013
  • Firstpage
    124
  • Lastpage
    125
  • Abstract
    Smart phones have become the most used electronic devices. They carry out most of the functionalities of desktops, offering various useful applications that suit the user´s needs. Therefore, instead of being an operator, the user has become the main controller of the device and its applications. Therefore, its reliability becomes an emergent requirement. In this paper, we shortly highlight the shortcomings of Software Reliability Growth Models (SRGMs) when applied to Smartphone applications and suggest future directions for reliability prediction in the mobile area.
  • Keywords
    smart phones; software reliability; SRGM; electronic devices; failure data analysis; smart phone application reliability prediction; software reliability growth models; user needs; Computer crashes; Estimation; Mobile communication; Software; Software engineering; Software reliability; Failure data; SRGMs; Smartphone applications;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Dependable Computing (PRDC), 2013 IEEE 19th Pacific Rim International Symposium on
  • Conference_Location
    Vancouver, BC
  • Type

    conf

  • DOI
    10.1109/PRDC.2013.24
  • Filename
    6820850