In the field of software engineering, multi-criteria decision making (MCDM) methods have been applied during software requirements prioritization (SRP) process. Among various MCDM methods, analytic hierarchy process is a desired technique to compute the ranking values of the software requirements (SRs). These ranking values are employed to choose the SRs that would be executed during different releases of the software. During SRP, stakeholders specify their preferences on SRs in a matrix, which is known as pairwise comparison matrix (PCM). This matrix is used to compute the ranking values of the SRs. The ranking values of the SRs would be reliable only when the PCMs are consistent. Based on our literature review, we identify that during SRP process less attention is given to statistical based approaches to examine the consistency of PCM. Therefore, to address this issue we proposed a method for SRP which is pliable and genuine because it sets a relevant significance level according to the size of the PCMs. Finally, the proposed method is discussed by considering the SRs of an institute examination system.

在软件工程领域，在软件需求优先级确定（SRP）过程中已应用了多准则决策（MCDM）方法。在各种MCDM方法中，层次分析法是一种用于计算软件需求（SR）的排名值的理想技术。这些排名值用于选择在软件的不同发行版中将执行的SR。在SRP期间，利益相关者在矩阵中指定他们对SR的偏好，该矩阵称为成对比较矩阵（PCM）。此矩阵用于计算SR的排名值。仅当PCM一致时，SR的排名值才是可靠的。根据我们的文献综述，我们发现在SRP过程中，较少关注基于统计的方法来检查PCM的一致性。所以，为了解决这个问题，我们提出了一种SRP的方法，该方法柔韧而真实，因为它根据PCM的大小设置了相关的重要性级别。最后，通过考虑机构考试系统的SR来讨论所提出的方法。