• DocumentCode
    715518
  • Title

    Compatibility Testing Service for Mobile Applications

  • Author

    Tao Zhang ; Gao, Jerry ; Jing Cheng ; Uehara, Tadahiro

  • Author_Institution
    Sch. of Software & Microelectron., Northwest Polytech. Univ., Xi´an, China
  • fYear
    2015
  • fDate
    March 30 2015-April 3 2015
  • Firstpage
    179
  • Lastpage
    186
  • Abstract
    As more and more mobile applications are developed, mobile app testing and quality assurance have become very important. Due to the diversity of mobile devices and platforms, compatibility testing for mobile apps has been identified as one urgent and challenging issue. There are two major reasons contributing to this issue. They are: a) the large number of mobile devices with diverse features and platforms which are upgraded frequently, b) a higher cost and complexity in mobile app compatibility testing. This paper proposes one optimized compatibility testing strategy using a statistical approach to reduce test costs, and improve engineer´s operation efficiency. The paper provides a solution to generate an optimized compatibility test sequence for mobile apps using the K-Means statistical algorithm. A compatibility testing service has been proposed for mobile apps. Moreover, two case study results are reported to demonstrate its potential application and effectiveness.
  • Keywords
    mobile computing; statistical analysis; compatibility testing service; k-means statistical algorithm; mobile app compatibility testing; mobile app testing; mobile devices; quality assurance; statistical approach; Analytical models; Databases; Home appliances; Mobile communication; Mobile handsets; Servers; Testing; clustering algorithm; compatibility testing; mobile testing; software testing; test coverage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Service-Oriented System Engineering (SOSE), 2015 IEEE Symposium on
  • Conference_Location
    San Francisco Bay, CA
  • Type

    conf

  • DOI
    10.1109/SOSE.2015.35
  • Filename
    7133527