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General Information
Editor-in-chief
Prof. Wael Badawy
Department of Computing and Information Systems Umm Al Qura University, Canada
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.
IJCTE 2017 Vol.9(4): 268-272 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2017.V9.1149

Conflict Identification among Usability Requirements Using Fuzzy Logic

Kanza Gulzar, Jun Sang, and Muhammad Ramzan
Abstract—Abstract—Usability Engineering is one of the most exciting and evolving areas of the research in the domain of human-computer interaction (HCI) and an integral part of HCI. Significant investigation has been conducted on the associations and conflicts between quality aspects but not much of work has been carried out on the identification of conflicts among usability requirement attributes separately. In this paper we have proposed a framework to examine the usability attributes trade-offs, involved in software development. It identifies the conflicts among usability requirement attributes and quantifies these conflicts using fuzzy methodology. The use of fuzzy modeling to deal with vagueness and contradictions in usability factors and its sub-factors makes this study a valuable contribution on this subject.

Index Terms—Index Terms—Human computer Interaction (HCI), usability requirement (URs), conflict identification, fuzzy logic.

K. Gulzar is with School of Software Engineering, Chongqing University, Chongqing 401331, China, pursuing her PhD., on leave from the Arid Agriculture University Rawalpindi Pakistan (e-mail: kanza@uaar.edu.pk, kaniyagi@hotmail.com).J. Sang is with School of Software Engineering, Chongqing University, Chongqing 401331, China. M. Ramzan was with University Institute of Information Technology, Arid Agriculture University Rawalpindi Pakistan now is working in College of Computing and Informatics, Saudi Electronic University, Riyadh, Saudi Arabia.

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Cite:Kanza Gulzar, Jun Sang, and Muhammad Ramzan, "Conflict Identification among Usability Requirements Using Fuzzy Logic," International Journal of Computer Theory and Engineering vol. 9, no. 4, pp. 268-272, 2017.

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