Fuzzy-soft set approach for ranking the functional requirements of software

Sadiq, M and Devi, VS (2022) Fuzzy-soft set approach for ranking the functional requirements of software. In: Expert Systems with Applications, 193 .

PDF exp_sys_app_193_2022.pdf - Published Version Restricted to Registered users only Download (507kB) | Request a copy

Abstract

Software requirements are the need of the stakeholders which are determined by the requirements elicitation techniques. Different fuzzy based methods have been developed to select the software requirements based on the ranking order so that high priority requirements can be implemented during the development process. Based on our review, we found that in these methods� prior information about the data such as grades of membership during the computation is required and these methods are also incompatible with the parameterization tools. To address this issue, we proposed an approach for ranking the functional requirements of software using fuzzy-soft set theory. The relative deviation between counts of non-functional requirements has been used to construct the fuzzy-soft sets. The weights of the non-functional requirements and the ranking order of the functional requirements are computed from fuzzy soft-set derived from raw data in which no prior information about data is required. An example is presented to illustrate the application of the proposed approach. © 2021 Elsevier Ltd

Item Type:	Journal Article
Publication:	Expert Systems with Applications
Publisher:	Elsevier Ltd
Additional Information:	The copyright for this article belongs to Elsevier Ltd
Keywords:	Computation theory; Fuzzy set theory, Examination system; Functional and non-functional requirement; Fuzzy soft sets; Fuzzy-set theory; Institute examination system; Non-functional requirements; Prior information; Soft set theories; Software requirements, Requirements engineering
Department/Centre:	Division of Electrical Sciences > Computer Science & Automation
Date Deposited:	17 Feb 2022 06:38
Last Modified:	17 Feb 2022 06:38
URI:	http://eprints.iisc.ac.in/id/eprint/71310

Actions (login required)

View Item