• DocumentCode
    2027964
  • Title

    A revisit of the proportional sampling strategy

  • Author

    Leung, Hing ; Chen, T.Y.

  • Author_Institution
    Dept. of Comput. Sci., New Mexico State Univ., Las Cruces, NM, USA
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    247
  • Lastpage
    253
  • Abstract
    When test cases are selected with replacement, we have Ppss ⩾Pr, where Ppss and Pr are the probabilities of detecting at least one failure by the proportional sampling strategy and random testing respectively. However, recent results on the proportional sampling strategy have highlighted that P pss⩾Pr may be very sensitive to whether test cases are selected with or without replacement. The paper provides more insights into this important issue, as the proportional sampling strategy is the most practically applicable partition testing strategy and it always performs better than random testing
  • Keywords
    probability; program testing; sampling methods; partition testing; partition testing strategy; proportional sampling strategy; random testing; software testing; test case selection with replacement; test cases; Computer science; Computer science education; Costs; Failure analysis; Mathematics; Performance evaluation; Sampling methods; Software testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering Conference, 2000. Proceedings. 2000 Australian
  • Conference_Location
    Canberra, ACT
  • Print_ISBN
    0-7695-0631-3
  • Type

    conf

  • DOI
    10.1109/ASWEC.2000.844581
  • Filename
    844581