• DocumentCode
    638286
  • Title

    Reliability Models Applied to Mobile Applications

  • 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
    18-20 June 2013
  • Firstpage
    155
  • Lastpage
    162
  • Abstract
    Smart phones have become the most used electronic devices. They carried out most of the functionalities of desktops, allowing various useful applications that suit the users´ needs. Therefore, instead of the operator, the user has become the number one controller of the device and its applications and thus its reliability becomes an emergent need. We aim to investigate and evaluate the efficacy of Software Reliability Growth Models (SRGMs) when applied to Smart phone application failure data and check whether they achieve the same success as in the desktop/laptop area. We selected three of the most used SRGMs and applied them to three different Smart phone applications. None of the selected models were able to account for the data satisfactorily. Their failure is traced back to the specific features of mobile applications compared to desktop applications. Thus, a suitable model for Smart phone applications is still needed to improve their reliability.
  • Keywords
    mobile computing; smart phones; software reliability; SRGM; electronic devices; mobile applications; smart phone application; software reliability growth models; Computer crashes; Data models; Predictive models; Smart phones; Software; Software reliability; Musa-Basic; Musa-Okumoto model; NHPP; SRGM model; Smartphone applications; software reliability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Security and Reliability-Companion (SERE-C), 2013 IEEE 7th International Conference on
  • Conference_Location
    Gaithersburg, MD
  • Print_ISBN
    978-1-4799-2924-5
  • Type

    conf

  • DOI
    10.1109/SERE-C.2013.30
  • Filename
    6616338