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A Qualitative and Quantitative Frame Work for effective Website Design

by G. Sreedhar, Dr. A.A. Chari, Dr.V.V.Venkata Ramana
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 2 - Number 1
Year of Publication: 2010
Authors: G. Sreedhar, Dr. A.A. Chari, Dr.V.V.Venkata Ramana
10.5120/610-860

G. Sreedhar, Dr. A.A. Chari, Dr.V.V.Venkata Ramana . A Qualitative and Quantitative Frame Work for effective Website Design. International Journal of Computer Applications. 2, 1 ( May 2010), 71-79. DOI=10.5120/610-860

@article{ 10.5120/610-860,
author = { G. Sreedhar, Dr. A.A. Chari, Dr.V.V.Venkata Ramana },
title = { A Qualitative and Quantitative Frame Work for effective Website Design },
journal = { International Journal of Computer Applications },
issue_date = { May 2010 },
volume = { 2 },
number = { 1 },
month = { May },
year = { 2010 },
issn = { 0975-8887 },
pages = { 71-79 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume2/number1/610-860/ },
doi = { 10.5120/610-860 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T19:49:28.730382+05:30
%A G. Sreedhar
%A Dr. A.A. Chari
%A Dr.V.V.Venkata Ramana
%T A Qualitative and Quantitative Frame Work for effective Website Design
%J International Journal of Computer Applications
%@ 0975-8887
%V 2
%N 1
%P 71-79
%D 2010
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The primary goal of this paper is to investigate various elements of website and evaluate quality of website design. The quality of website depends on various components such as download time, website size, broken links and website structure. The quality of website structure is based on its navigability, average number of clicks and structural complexity. Different kinds of tools are used to examine the components of website. These tools include: W3C Link Checker, W3C Markup Validation Service, Webpage Analyzer and Website Extractor. The W3C Link checker accepts URL address of Web page and parses each and every hyperlink to find broken links in the page. The W3C Markup Validation Service finds the errors regarding HTML tags’, usage errors, properties of Web page and standards of the Web page mentioned by W3C Consortium. The errors of each web site are grouped into major and minor errors. A set of qualitative measures are identified based on these errors. The web tool PowerMapper is used to establish the sitemap for the website and path length metric is used to evaluate average number of clicks to get desired web page and web site structural complexity is determined with cyclomatic complexity. The quality of website design is measured in 10-point scale and the value suggests the improvement of the site design.

References
  1. Folders, Vincent And Michel Will, “Web Pages that suck: Learn Good Design by looking at Bad Design”, SanFrancisco, CA, SYBEX.
  2. Yogesh Deshpande, San Murugesan Arthla Ginige, Steve Hanse, Daniel Schwabe, Martin Gaedke, Bebo White, “Web Engineering”, Journal of Web Engineering, Vol.1. No.1 (2002) 003-017.
  3. Benjamin Yen, Paul Jen-Hwa Hu, May Wang, “Toward and analytical approach for effective Website design: A frame work for modeling, evaluation and enhancement”, Electronic Commerce Research and Applications 6 (2007), 159-170.
  4. G. Sreedhar and A.A. Chari, “An experimental Study to Identify Qualitative Measures for Website Design”, Global Journal of Computer Science and Technology, University of Wisconsin, USA, September, 2009, pp.12.
  5. G. Sreedhar, A.A. Chari and V.V.Venkata Ramana, “Evaluating Qualitative Measures for Effective Website Design”, International Journal on Computer Science and Engineering, vol.02, No.01S, 2010, pp.61-68.
  6. Benbunan-Fich, R, “Using Protocol Analysis to evaluate the usability of a Commercial Website, Information and Management, 39, 151-163, 2001.
  7. Ali Azad, “Elements of Effective Web Page Design”, Global Competitiveness, January, 2001.
  8. Zheng Chen, Shengping Liu, Liu Wenyin, Geguang Pu, Wei-Ying Ma, “Building a Web Thesaurus form Web Link Structure”, SIGIR 2003, July 28 – August 1, 2003, Toronto, Canada.
  9. L. Page, S. Brin, R. Motwani and T. Winograd, “The PageRank Citation Ranking: Bring Order to the Web”, Technical Report, Stanford University, 1998.
  10. E. Glover, K. Tsioutisiouliklis, S. Lawrence, D.Pennock, G. Flake, “Using Web Structure for Classifying and Describing Web Pages”, in Proceedings of WWW2002, Hawaii, May 2002.
  11. Techniques for Web Content Accessibility Guidelines by W3C, http://w3.org.
  12. Website Extractor 9.80, http:// wareseeker.com/ screenshot/ Website-extractor-9.80.exe/420871
  13. Web Page Analyzer - 0.98 - Website Optimization (Free Website Performance Tool and Web Page Speed Analysis) www.Websiteoptimization.com /services/analyze
  14. W3C Markup Validation Service, http://validator.w3.org/
  15. W3C Link Checker, http://w3.org/checklink
  16. Yanlong Zhang, Hong Zhu and Sue Greenwood, “Website Complexity Metrics for Measuring Navigability”, Proceedings of the fourth conference on quality software (QSIC’04), 0-7695-2207-6/04, IEEE.
Index Terms

Computer Science
Information Sciences

Keywords

major errors minor errors qualitative measures website structure and navigability

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