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<p>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.</p>
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
H. Yamano, M. Ohba, Y. Tohma, 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. , pp. 483-489, May 1991, doi:10.1109/32.90450
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