考虑排错过程引进故障的开源软件可靠性模型研究

近年来，开源软件在软件行业很受欢迎。但是，开源软件的可靠性却受到人们的广泛质疑。如何评估开源软件的可靠性是一个重要的问题。与传统的闭源软件相比，在建立开源软件可靠性模型时，必须考虑故障引入和故障检测与排错之间的延迟时间这两个因素。本文考虑了排错过程和不完美调试现象，提出了相应的开源软件可靠性模型。并且我们用两个开源软件故障数据集实来验证提出模型的拟合性能与预测性能。实验结果表明，提出的模型在开源软件可靠性评估中具有良好的拟合和预测性能。提出的模型可以用于开源软件在实际的开发过程中的可靠性评估。

Software Reliability Models for Open Source Software Considering Correction Process and Fault Introduction

Recently, open source software is popular in software industry. However, the reliability for open source software is widely questioned by people. How to assess the reliability of open source software is an important issue. Compared with traditional closed source software, two factors, i.e. fault introduction and the delay time between the fault detection and correction are necessarily considered when building software reliability model of open source software. In this paper, we propose software reliability models for open source software considering the correction process and imperfect debugging. We use the experiment to validate the goodness-of-fit and predictive performance of the proposed model using two fault data sets of open source software. The experimental results show that the proposed models have a good fitting and predictive power in the reliability evaluation of open source software. The proposed models can be used to evaluate the reliability of open source software in the real-world development of open source software.