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We develop a software reliability growth model incorporating the amount of test-effort expenditures during software testing phase. The time-dependent behavior of test-effort expenditures is described by a Weibull curve due to the flexibility. Assuming that the error detection rate to the amount of test-effort spent during the testing phase is proportional to the current error content, the model is formulated by a nonhomogeneous Poisson process. Using this model, the method of data analyses for software reliability measurement is presented. Also, we apply this model to the prediction of additional test-effort expenditures to achieve the objective number of errors detected by software testing and the determination of the optimum time when to stop sofware testing for release.

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