Sequential Multi-Hypothesis Testing in Software Reliability

  • J. S. Shieh
  • Y. L. Tong
Chapter

Abstract

We propose a sequential method for solving the multi-hypothesis testing problem in software reliability, and derive tests for the parameters involved under the Jelinski-Moranda, Shick-Wolverton, the geometric error detection rate, and the error-content proportional detection rate models. Sequential tests are obtained by applying a generalized Wald’s sequential probability ratio test due to Bechhofer, Kiefer and Sobel (1968), and they guarantee an average probability of correct decision to be at least 1 − β (preassigned) when sampling terminates and a given terminal decision rule is applied. This new approach represents a natural application of classical results in sequential analysis to the (relatively new) area of software reliability testing.

Keywords

Sequential Test Average Probability Correct Decision Software Reliability Sequential Probability Ratio Test 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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Copyright information

© Springer Science+Business Media Dordrecht 1996

Authors and Affiliations

  • J. S. Shieh
    • 1
    • 2
  • Y. L. Tong
    • 1
    • 2
  1. 1.Institute of Statistical ScienceAcademia SinicaTaipeiTaiwan, ROC
  2. 2.School of MathematicsGeorgia Institute of TechnologyAtlantaUSA

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