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Software Requirements Selection with Incomplete Linguistic Preference Relations
Business & Information Systems Engineering ( IF 7.9 ) Pub Date : 2021-04-27 , DOI: 10.1007/s12599-021-00696-x
Mohd. Sadiq , Azra Parveen , S. K. Jain

Software requirements (SRs) selection is a multicriteria group decision making (MCGDM) problem whose objective is to select the SRs from the pool of the requirements on the basis of different criteria. In MCGDM, different decision makers have different opinions of the same requirement so it is difficult to decide which set of SRs to implement during the different releases of the software. During the MCGDM process, decision makers may use linguistic variables to specify preferences of requirements over other requirements. In real life applications, it has been observed that sometimes decision makers cannot evaluate the SRs due to their lack of knowledge and limited expertise related to the problem domain. In this situation, incomplete linguistic preference relations (LPRs) are constructed. In literature, SRs selection with incomplete LPRs is still an unresearched problem. Therefore, to address this issue, a method is presented for the selection of SRs with incomplete LPRs. Finally, the applicability of the proposed method is explained with the help of an example.



中文翻译:

具有不完整语言偏好关系的软件需求选择

软件需求(SR)的选择是一个多准则组决策(MCGDM)问题,其目标是根据不同的准则从需求池中选择SR。在MCGDM中,不同的决策者对相同的要求有不同的意见,因此很难决定在软件的不同发行版中实施哪一组SR。在MCGDM过程中,决策者可以使用语言变量来指定需求相对于其他需求的偏好。在现实生活中的应用中,已经观察到有时决策者由于缺乏与问题领域相关的知识和有限的专业知识而无法评估SR。在这种情况下,会构建不完整的语言偏好关系(LPR)。在文学上 具有不完整LPR的SR选择仍然是一个尚未研究的问题。因此,为了解决这个问题,提出了一种选择具有不完整LPR的SR的方法。最后,通过一个例子来说明所提出的方法的适用性。

更新日期:2021-04-28
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