Abstract
HeReliability growth models have been widely applied to track the system failure intensity during the development phase. The power law process (PLP) model is the most commonly model use in reliability growth analyses. However, the PLP model has two drawbacks that the failure intensities at the start and end of the development test-fix-test program are infinite and zero, respectively. In this paper, we propose a new model based on the Burr XII distribution to overcome the drawbacks. The estimates of the model parameters can be easily obtained using the maximum likelihood estimation method. Through three numerical examples, the results show that our proposed model outperforms other existing models regarding log-likelihood value and mean of squared error (MSE).
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