A Fuzzy Prototype Solution for Website Quality Assurance

Akinola Olayinka; Nwankwo Wilson; Odunayo Adesola Aribisala; John Temitope Ogbiti

doi:doi:10.11648/j.se.20180603.13

| Peer-Reviewed

A Fuzzy Prototype Solution for Website Quality Assurance

Akinola Olayinka, Nwankwo Wilson, Odunayo Adesola Aribisala, John Temitope Ogbiti

Published in Software Engineering (Volume 6, Issue 3)

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

Views: Downloads:

Download PDF

Share This Article

Twitter
Linked In
Facebook

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

[1]	Brahima, S. (2014). The World in 2014: ICT Facts and Figures. Switzerland: International Telecommunications Union.
[2]	Kende, M. (2014). Global Internet Report 2014. Switzerland: Internet Society.
[3]	Nielsen, W. (2009). Webvisible. Available at: http://www.marketwired.com.
[4]	Vistaprint (2012, March 8). The Guide: Benefits of a Company Website. Available at: http://www.vistaprint.com.
[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

Plain Text BibTeX RIS

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

Copy | Download

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

Copy | Download

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

Copy | Download

@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}
}

Copy | Download

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  -

Copy | Download

Author Information

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

Download PDF

Sections

Plain Text BibTeX RIS

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

Copy | Download

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

Copy | Download

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

Copy | Download

@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}
}

Copy | Download

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  -

Copy | Download