Software reliability growth models (SRGMs) have been arisen to estimate various criteria such as the number of errors remaining in the software, the software failure rate, and determining the reliability of the software. In general, SRGMs are dataset dependent and hence the selection of an optimal model for use in a particular application is considered an important issue in software reliability engineering. This study provides two multi-criteria decision-making methods for comparison and selecting the optimal SRGM for a particular dataset. The methods compute a weight, in terms of the degree of diversity, for each considered statistical criterion and provide a score for each SRGM, regarding the values of weights. Simplicity, weighting to criteria, and combining various descriptive and predictive aspects of a model in the process of the model selection are of the advantages of the methods.

已经出现了软件可靠性增长模型（SRGM），用于估计各种标准，例如软件中剩余的错误数量，软件故障率以及确定软件的可靠性。通常，SRGM依赖于数据集，因此，选择用于特定应用程序的最佳模型被认为是软件可靠性工程中的重要问题。这项研究提供了两种多准则决策方法，用于比较和选择特定数据集的最佳SRGM。该方法针对每个考虑的统计标准，根据多样性的程度计算权重，并为每个SRGM提供有关权重值的分数。简单性，权衡标准，