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A Fuzzy Prototype Solution for Website Quality Assurance

Received: 4 July 2018     Accepted: 19 July 2018     Published: 26 September 2018
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Abstract

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.

Published in Software Engineering (Volume 6, Issue 3)
DOI 10.11648/j.se.20180603.13
Page(s) 98-109
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2018. Published by Science Publishing Group

Keywords

Fuzzy System, Fuzzy Logic, Web Evaluation, Quality Assurance, Web Maintenance

References
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[5] 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.
[6] Blanchard, M. (2013). History of the Mass Media in the United States. Available at: https://books.google.com.ng/books?isbn=1135917426.
[7] Berners-Lee, T., Cailliau, R., and Groff, J. (1992). The World Wide Web. Joint European Networking Conference 10 (1), 454-459.
[8] 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.
[9] 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.
[10] Zeltser, L. (2015). Early History of the World-Wide Web: Origins and Beyond. Available at: https://zeltser.com/web-history.
[11] Harper, C. (1999). Weaving the Web. Available at: http://www.webfoundation.org/about/vision/history-of-the-web.
[12] Relihan, L., Cahill, T., and Hinchey, G. (1995). Untangling the World-Wide Web. Available at: http://dl.acm.org/citation.cfm?id=192531.
[13] Gromov, R., (1998). History of Internet and WWW: The roads and crossroads of Internet history. Available at: http:www.webfoundation.org.
[14] Vydano, D. (2012). Basic principles of fuzzy logic. Prague: Albatros media. pp 45-48.
[15] Tipton, H. (2014). Information Security Management Handbook, 4th Edition. USA: Adventure Works Press.
[16] Tomei, L. (2010). Lexicon of Online and Distance Learning. New York: Rowman and Littlefield. pp 23-24.
[17] Wiley, J. (2010). Fuzzy Sets and Fuzzy Logic: Theory and Applications. International Journal of Computer Applications, 2 (3), 1-4.
[18] 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.
Cite This Article
  • APA Style

    Akinola Olayinka, Nwankwo Wilson, Odunayo Adesola Aribisala, John Temitope Ogbiti. (2018). A Fuzzy Prototype Solution for Website Quality Assurance. Software Engineering, 6(3), 98-109. https://doi.org/10.11648/j.se.20180603.13

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    ACS Style

    Akinola Olayinka; Nwankwo Wilson; Odunayo Adesola Aribisala; John Temitope Ogbiti. A Fuzzy Prototype Solution for Website Quality Assurance. Softw. Eng. 2018, 6(3), 98-109. doi: 10.11648/j.se.20180603.13

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    AMA Style

    Akinola Olayinka, Nwankwo Wilson, Odunayo Adesola Aribisala, John Temitope Ogbiti. A Fuzzy Prototype Solution for Website Quality Assurance. Softw Eng. 2018;6(3):98-109. doi: 10.11648/j.se.20180603.13

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  • @article{10.11648/j.se.20180603.13,
      author = {Akinola Olayinka and Nwankwo Wilson and Odunayo Adesola Aribisala and John Temitope Ogbiti},
      title = {A Fuzzy Prototype Solution for Website Quality Assurance},
      journal = {Software Engineering},
      volume = {6},
      number = {3},
      pages = {98-109},
      doi = {10.11648/j.se.20180603.13},
      url = {https://doi.org/10.11648/j.se.20180603.13},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.se.20180603.13},
      abstract = {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.},
     year = {2018}
    }
    

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  • TY  - JOUR
    T1  - A Fuzzy Prototype Solution for Website Quality Assurance
    AU  - Akinola Olayinka
    AU  - Nwankwo Wilson
    AU  - Odunayo Adesola Aribisala
    AU  - John Temitope Ogbiti
    Y1  - 2018/09/26
    PY  - 2018
    N1  - https://doi.org/10.11648/j.se.20180603.13
    DO  - 10.11648/j.se.20180603.13
    T2  - Software Engineering
    JF  - Software Engineering
    JO  - Software Engineering
    SP  - 98
    EP  - 109
    PB  - Science Publishing Group
    SN  - 2376-8037
    UR  - https://doi.org/10.11648/j.se.20180603.13
    AB  - 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.
    VL  - 6
    IS  - 3
    ER  - 

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Author Information
  • Department of Physics, Edo University Iyamho, Uzairue, Nigeria

  • Department of Mathematics and Computer Science, Edo University Iyamho, Uzairue, Nigeria

  • Department of Mathematics, Ahmadu Bello University, Zaria, Nigeria

  • Department of Mathematics and Computer Science, Edo University Iyamho, Uzairue, Nigeria

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