• DocumentCode
    130830
  • Title

    Automated testing for large-scale critical software systems

  • Author

    Zheng Liu ; Mei, Paul

  • Author_Institution
    Oracle (China), Software Syst. Co., Ltd., Beijing, China
  • fYear
    2014
  • fDate
    27-29 June 2014
  • Firstpage
    200
  • Lastpage
    203
  • Abstract
    Software systems are important components for the deployment and operation of large-scale critical systems, such as nuclear plants and aerospace shuttles. The very high reliability is critically required. Due to the very large scale and computational complexity, however, there are some inherent challenges for conducting extensive testing. In this paper, we define such challenges in the testing scope of large-scale critical software. The paper presents the testing workflows and coverage, the mechanism of random testing, followed by the automated testing framework. We then present the implementing details of the automated testing platform ATLAS.
  • Keywords
    automatic test software; computational complexity; program testing; safety-critical software; ATLAS; automated testing framework; computational complexity; large-scale critical software systems; random testing; testing workflows; very large scale complexity; Algorithms; Computational modeling; Software reliability; Software systems; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering and Service Science (ICSESS), 2014 5th IEEE International Conference on
  • Conference_Location
    Beijing
  • ISSN
    2327-0586
  • Print_ISBN
    978-1-4799-3278-8
  • Type

    conf

  • DOI
    10.1109/ICSESS.2014.6933544
  • Filename
    6933544