Title | ||
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Fuzzy Approach to Prioritize Usability Requirements Conflicts: An Experimental Evaluation. |
Abstract | ||
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The lack of attention to the correlation between the attributes of usability requirements leads to several problems with software development. This paper presents a novel framework that focuses on the mapping of usability requirements attributes to the linguistic assessment from the users using fuzzy logic. Our proposed framework prioritizes conflicting usability requirements attributes. For implementation, we have used MATLAB Fuzzy Logic Tool box. This proposed framework is aimed at helping the requirement analyst in taking better decisions by automating the whole process of identifying and resolving usability requirements conflicts. The major task in the proposed system involves determining the numerical value for each attribute considering their respective importance in different quantitative and qualitative evaluation standards. On the basis of numerical value, conflicts and their respective severities are identified. |
Year | DOI | Venue |
---|---|---|
2017 | 10.1109/ACCESS.2017.2725321 | IEEE ACCESS |
Keywords | Field | DocType |
Human computer interaction (HCI),usability requirements (URs),usability attributes/usability factors,conflict prioritization,fuzzy logic,MATLAB fuzzy logic tool box | Pluralistic walkthrough,Data mining,Software engineering,Heuristic evaluation,Computer science,Fuzzy logic,Usability,Usability goals,Fuzzy set,Cognitive walkthrough,Component-based usability testing,Distributed computing | Journal |
Volume | ISSN | Citations |
5 | 2169-3536 | 1 |
PageRank | References | Authors |
0.41 | 2 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Kanza Gulzar | 1 | 1 | 0.75 |
Jun Sang | 2 | 40 | 12.62 |
Muhammad Ramzan | 3 | 3 | 1.45 |
Muhammad Kashif | 4 | 34 | 8.17 |