Volume 6, Issue 3, September 2018, Page: 98-109
A Fuzzy Prototype Solution for Website Quality Assurance
Akinola Olayinka, Department of Physics, Edo University Iyamho, Uzairue, Nigeria
Nwankwo Wilson, Department of Mathematics and Computer Science, Edo University Iyamho, Uzairue, Nigeria
Odunayo Adesola Aribisala, Department of Mathematics, Ahmadu Bello University, Zaria, Nigeria
John Temitope Ogbiti, Department of Mathematics and Computer Science, Edo University Iyamho, Uzairue, Nigeria
Received: Jul. 4, 2018;       Accepted: Jul. 19, 2018;       Published: Sep. 26, 2018
DOI: 10.11648/j.se.20180603.13      View  450      Downloads  33
Internet has become ubiquitous and organizations have moved from the traditional storage using physical files localized in cabinets to online remote storage accessible over websites. Over the years, different website evaluation tools have been developed to assist web administrators with website maintenance functions. Prior to a proper website assessment using majority of such tools, the web administrator would have to access each one differently reasons being that each tool is developed to measure different quality parameters. Later, Fuzz-web was developed to capture more parameters but with a limitation wherein the system depends on some of the evaluation tools for inputs, the implication being that where such tools are not available there will be an express failure of fuzz-web. To overcome the foregoing problems, this paper is aimed at developing a Fuzzy-Based Website Quality Assurance System. It employs fuzzy logic principles, exploiting the inherent power of the Java programming language to evolve a system that can be used to detect broken links, slow loading pages, Hypertext Transfer Protocol-related errors in a website, and the overall quality status of a website. The system relieves the user of the gross dependence on several external evaluation tools and with the information provided, enhances the proactive web administrators to be proactive in amending errors.
Fuzzy System, Fuzzy Logic, Web Evaluation, Quality Assurance, Web Maintenance
To cite this article
Akinola Olayinka, Nwankwo Wilson, Odunayo Adesola Aribisala, John Temitope Ogbiti, A Fuzzy Prototype Solution for Website Quality Assurance, Software Engineering. Vol. 6, No. 3, 2018, pp. 98-109. doi: 10.11648/j.se.20180603.13
Copyright © 2018 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Brahima, S. (2014). The World in 2014: ICT Facts and Figures. Switzerland: International Telecommunications Union.
Kende, M. (2014). Global Internet Report 2014. Switzerland: Internet Society.
Nielsen, W. (2009). Webvisible. Available at: http://www.marketwired.com.
Vistaprint (2012, March 8). The Guide: Benefits of a Company Website. Available at: http://www.vistaprint.com.
Ghandour, A., Benwell, G. L., and Deans, K. R. (2011). Measuring the Performance of e-commerce website. Pacific Asia Journal of the Association for Information Systems (PAJAIS), 10 (1), 263-274.
Blanchard, M. (2013). History of the Mass Media in the United States. Available at: https://books.google.com.ng/books?isbn=1135917426.
Berners-Lee, T., Cailliau, R., and Groff, J. (1992). The World Wide Web. Joint European Networking Conference 10 (1), 454-459.
Weinreich, H., Obendorf, H., Herder, E., and Mayer, M. (2008). Not quite the average: An empirical study of the web use. ACM Trans. 2 (1), 31-35.
Hughes, K. (1993, february 19). Entering the World-wide web: A guide to cyberspace. Available at: http://epics.aps.anl.gov/demo/guide-www.guide.html.
Zeltser, L. (2015). Early History of the World-Wide Web: Origins and Beyond. Available at: https://zeltser.com/web-history.
Harper, C. (1999). Weaving the Web. Available at: http://www.webfoundation.org/about/vision/history-of-the-web.
Relihan, L., Cahill, T., and Hinchey, G. (1995). Untangling the World-Wide Web. Available at: http://dl.acm.org/citation.cfm?id=192531.
Gromov, R., (1998). History of Internet and WWW: The roads and crossroads of Internet history. Available at: http:www.webfoundation.org.
Vydano, D. (2012). Basic principles of fuzzy logic. Prague: Albatros media. pp 45-48.
Tipton, H. (2014). Information Security Management Handbook, 4th Edition. USA: Adventure Works Press.
Tomei, L. (2010). Lexicon of Online and Distance Learning. New York: Rowman and Littlefield. pp 23-24.
Wiley, J. (2010). Fuzzy Sets and Fuzzy Logic: Theory and Applications. International Journal of Computer Applications, 2 (3), 1-4.
Rekik, R., and Kallel, I. (2013). Fuzz-Web: A Methodology Based on Fuzzy Logic for assessing websites, International Journal of Computer Information Systems and Industrial Management Applications, 6 (4), 126-136.
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