A FUZZY BASED APPROACH FOR EARLY REQUIREMENT PRIORITIZATION

INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY

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Field Value
 
Title A FUZZY BASED APPROACH FOR EARLY REQUIREMENT PRIORITIZATION
 
Creator Muqeem, Mohd
Rizwan Beg, Dr. Md.
 
Subject Requirement Prioritization; Requirement Engineering; Elicitation; Fuzzy Inference system; Priority.
 
Description The importance of the prioritization in commercial software development has been analyzed by many researchers. The gathered requirements are required to be put into an order of some priority. In other words we can say that there is a need to prioritize the requirements. It is evident that most of the approaches and techniques proposed in recent research to prioritize the requirements have not been widely adopted. These approaches are too complex, time consuming, or inconsistent and difficult to implement In this paper we propose a fuzzy based approach for requirement prioritization in which  requirement are prioritized in early phase of requirement engineering as post elicitation step. This category of prioritization is known as early requirement prioritization. The proposed fuzzy based approach considers the nature of requirements by modeling their attributes as fuzzy variables. As such, these variables are integrated into a fuzzy based inference system in which the requirements represented as input attributes and ranked via the expected value operator of a fuzzy variable.
 
Publisher CIRWORLD
 
Date 2016-03-01
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier http://cirworld.com/index.php/ijct/article/view/566
 
Source INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY; Vol 15 No 2; 6480-6490
2277-3061
 
Language eng
 
Relation http://cirworld.com/index.php/ijct/article/view/566/552
 
Rights Copyright (c) 2015 INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY
http://creativecommons.org/licenses/by/4.0
 

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