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Generating Patterns and Sub-Patterns of Pairwise Comparison Matrices for the Selection of Software Requirements

机译:成对比较矩阵的生成模式和子模式,用于选择软件需求

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Software requirements selection is an important activity of software requirements management. Different methods have been developed to select the software requirements using analytic hierarchy process (AHP). In AHP, pairwise comparison matrices (PCM) are used to specify the preferences of the stakeholders. Based on our literature review we identify that in software requirements selection less attention is given to check the consistency of the PCM. The ranking values of the software requirements would be consistent only when the PCM would be consistent. Therefore, to address this issue we proposed a method for the selection of the software requirements by generating the different patterns and sub-patterns of the PCM. In our case study, we have generated the 8 patterns and for each patterns we have generated the 64 sub-patterns. As a result, we have generated 512 sub-patterns of PCM. The applicability of the proposed method is explained with the help of a case study.
机译:软件需求选择是软件需求管理的重要活动。已经开发出多种方法来使用层次分析法(AHP)选择软件需求。在AHP中,使用成对比较矩阵(PCM)来指定涉众的偏好。根据我们的文献综述,我们发现在软件需求选择中,很少注意检查PCM的一致性。仅当PCM一致时,软件要求的等级值才会一致。因此,为了解决这个问题,我们提出了一种通过生成PCM的不同模式和子模式来选择软件需求的方法。在我们的案例研究中,我们生成了8个模式,对于每个模式,我们生成了64个子模式。结果,我们生成了512个PCM子模式。借助于案例研究,说明了所提出方法的适用性。

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