Open source software reliability is an important factor affecting the quality of open source software. The developed reliability models of open source software cannot meet the actual evaluation of open source software reliability because of the complexity, dynamics, and uncertainty of open source software development. Considering the dynamic changes of fault introduction in open source software development, we propose an open source software reliability model with fault introduction based on the generalized Pareto distribution. We use three Apache open source software projects to validate the proposed model. Least squares estimation is used to estimate the model parameter values. Experimental results indicate that the proposed model has better fitting and predictive performance than other existing models. The generalized Pareto distribution of the fault introduction is consistent with that in actual open source software development. Thus, the proposed model can assist developers and managers in evaluating the reliability of open source software in the actual process of open source software development.

开源软件的可靠性是影响开源软件质量的重要因素。由于开源软件开发的复杂性，动态性和不确定性，开发的开源软件可靠性模型无法满足对开源软件可靠性的实际评估。考虑到开源软件开发中故障引入的动态变化，我们提出了一种基于广义帕累托分布的带有故障引入的开源软件可靠性模型。我们使用三个Apache开源软件项目来验证所提出的模型。最小二乘估计用于估计模型参数值。实验结果表明，该模型具有比其他现有模型更好的拟合和预测性能。故障引入的广义帕累托分布与实际的开源软件开发相一致。因此，所提出的模型可以帮助开发人员和管理人员在开源软件开发的实际过程中评估开源软件的可靠性。