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  • 1991
  • Issue No. 5 - May
  • Abstract - The Estimation of Parameters of the Hypergeometric Distribution and its Application to the Software Reliability Growth Model
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The Estimation of Parameters of the Hypergeometric Distribution and its Application to the Software Reliability Growth Model
May 1991 (vol. 17 no. 5)
pp. 483-489

Six ways to estimate parameters of the hypergeometric distribution are investigated, and their accuracies are examined comparatively. It is demonstrated that the least-squares sum method is the best one among those tried, and can be applied to real test/debug data for estimating the number of faults still resident in a program after test/debugging. By this method the estimation time can be reduced greatly.

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Index Terms:
program testing; program debugging; parameter estimation; program fault estimation; software reliability growth model; hypergeometric distribution; least-squares sum method; least squares approximations; parameter estimation; program debugging; program testing; software reliability
Citation:
Y. Tohma, H. Yamano, M. Ohba, R. Jacoby, "The Estimation of Parameters of the Hypergeometric Distribution and its Application to the Software Reliability Growth Model," IEEE Transactions on Software Engineering, vol. 17, no. 5, pp. 483-489, May 1991, doi:10.1109/32.90450
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