• DocumentCode
    694374
  • Title

    Design and implementation of an automatic tool for software regression test based on STAF

  • Author

    Xin Huang ; Huijuan Chen ; Jing Qian

  • Author_Institution
    Shenzhen Inst. of Adv. Technol., Shenzhen, China
  • fYear
    2013
  • fDate
    12-13 Oct. 2013
  • Firstpage
    280
  • Lastpage
    283
  • Abstract
    The advent and advancements of software testing automation helped the whole software testing process to be carried out efficiently and effectively. Regression test is a testing process which seeks to uncover new software bugs, or regressions, in existing functional and non-functional areas of a system after changes. Automation brings significant enhancements to regression test. STAF (The Software Testing Automation Framework) is an open source, multi-platform, multi-language automated testing framework. In this paper, we design and implement a software regression test automation tool (RTAT) based on STAF. The high-level design, components design as well as its J2EE based implementation will be covered; additionally we applied it to the testing process of a real world regression test process and conducted evaluation based on the application. The evaluation results indicate that our tool helped to improve the regression test efficiency significantly.
  • Keywords
    program debugging; program testing; public domain software; software tools; J2EE based implementation; RTAT; STAF; multilanguage automated testing framework; multiplatform automated testing framework; open source automated testing framework; software bugs; software regression test automation tool; software testing automation framework; Automation; Databases; Maintenance engineering; Servers; Software; Software testing; Automated Software Testing; Regression Test; STAF;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Network Technology (ICCSNT), 2013 3rd International Conference on
  • Conference_Location
    Dalian
  • Type

    conf

  • DOI
    10.1109/ICCSNT.2013.6967113
  • Filename
    6967113