Software Requirements Selection with Incomplete Linguistic Preference Relations

Sadiq, M and Parveen, A and Jain, SK (2021) Software Requirements Selection with Incomplete Linguistic Preference Relations. In: Business and Information Systems Engineering .

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Abstract

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. © 2021, Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature.

Item Type:	Journal Article
Publication:	Business and Information Systems Engineering
Publisher:	Springer Gabler
Additional Information:	The copyright for this article belongs to Springer Gabler
Department/Centre:	Division of Electrical Sciences > Computer Science & Automation
Date Deposited:	26 Jul 2021 08:40
Last Modified:	26 Jul 2021 08:40
URI:	http://eprints.iisc.ac.in/id/eprint/68974

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