Reliability feature of programs

The dataset is associated with the research article entitled “Machine Learning Approach to Predict Software Reliability of Large and Complex Software”.  The dataset has been developed to predict the reliability of software programs. The dataset is based on the latent faults present in Java programs. The dataset is specifically used to evaluate the performance of machine learning algorithms.  The dataset is generic and can be applied to test the reliability of Java programs during testing, deployment, and even during the maintenance phase. Please refer to the research article to know more about the dataset and how it can be utilized to predict the reliability of  programs or software developed in Java programming language.  

本数据集关联题为《面向大型复杂软件可靠性预测的机器学习方法》（Machine Learning Approach to Predict Software Reliability of Large and Complex Software）的研究论文。本数据集旨在预测软件程序的可靠性，其构建基于Java程序中存在的潜在缺陷（latent faults）。该数据集专门用于评估机器学习算法（machine learning algorithms）的性能，且具备通用性，可用于Java程序在测试、部署乃至维护阶段的可靠性评估。欲了解该数据集的更多细节，以及如何利用其预测采用Java编程语言开发的程序或软件的可靠性，请参阅该研究论文。