• DocumentCode
    3285030
  • Title

    Reliability of conformance tests

  • Author

    Hagwood, Charles ; Kacker, Raghu ; Yen, James ; Banks, David ; Rosenthal, Lynne ; Gallagher, Leonard ; Black, Paul

  • Author_Institution
    Stat. Eng. Div., Nat. Inst. of Stand. & Technol., Gaithersburg, MD, USA
  • fYear
    1998
  • fDate
    19-21 Aug 1998
  • Firstpage
    368
  • Lastpage
    372
  • Abstract
    A conformance test is a software assurance test that is applied in order to determine if specification requirements of the software are being met. It is a time-independent model, where the software object is subjected to an a priori known test suite. The reliability of the software is the probability that it will function properly for values in the input space. Because the input space is usually very large, it is impossible to sample all input values, so in order to provide better sampling coverage, the input space is partitioned into homogeneous subspaces. Samples are drawn from each subspace for testing the software. The conformance tests based on these samples are required to pass all tests in the test suite. Based on these data, the classical statistical estimate of reliability is one. Such an estimate may be unrealistic if the sample sizes are not large. Even in such a scenario a nontrivial confidence interval is provided for the reliability
  • Keywords
    conformance testing; software reliability; a priori; conformance test; conformance tests; homogeneous subspaces; nontrivial confidence interval; reliability; software assurance test; specification requirements; test suite; time-independent model; Explosions; NIST; Reliability engineering; Sampling methods; Software measurement; Software systems; Software testing; Statistical analysis; System testing; Virtual reality;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Software and Applications Conference, 1998. COMPSAC '98. Proceedings. The Twenty-Second Annual International
  • Conference_Location
    Vienna
  • ISSN
    0730-3157
  • Print_ISBN
    0-8186-8585-9
  • Type

    conf

  • DOI
    10.1109/CMPSAC.1998.716682
  • Filename
    716682