• DocumentCode
    2177653
  • Title

    Acceleration of Random Testing for Software

  • Author

    Shengfeng Wu ; Yue Wu ; Shiyi Xu

  • Author_Institution
    Sch. of Comput. Eng. & Sci., Shanghai Univ., Shanghai, China
  • fYear
    2013
  • fDate
    2-4 Dec. 2013
  • Firstpage
    51
  • Lastpage
    59
  • Abstract
    Random testing has been widely used in both software and hardware testing areas for years, which is applied as black box testing in software testing. This paper takes advantage of the common features of hardware and software random testing, applying the new concept of the maximum distance among test patterns called Quasi Perfect Maximum Distance Test Sequence (QPMDTS) into software. It is an effective extension from the hardware point of view to fit software testing by using some suitable transformations and improvements so that the random testing procedure can be greatly accelerated. A number of experiments on 39 mutant versions of benchmark program and empirical experiments on four subject programs from numerical recipes have been completed and the favorable results have shown the real effectiveness of the proposed method compared with other random testing techniques. It concludes that the proposed method of test cases generation for software can not only bring higher fault coverage but also a lower test cost compared with the conventional software random testing.
  • Keywords
    program testing; QPMDTS; black box testing; hardware testing; quasi perfect maximum distance test sequence; random testing procedure; software testing; test case generation; test patterns; Binary codes; Circuit faults; Hardware; Software; Software testing; Subspace constraints; Anti-random testing; Black-box testing; Maximum distance; Quasi perfect maximum distance test sequence; Random testing;
  • 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.2013.15
  • Filename
    6820840