Web Page Metrics: an Empirical Analysis to Improve the Quality of Web Page
Suman Mann

Suman Mann, Maharaja Surajmal Institute of Technology, (New Delhi), India.
Manuscript received on 10 March 2016 | Revised Manuscript received on 20 March 2016 | Manuscript Published on 30 March 2016 | PP: 9-14 | Volume-5 Issue-10, March 2016 | Retrieval Number: J22720351016/16©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Web Metrics play an important role in measuring the different attributes of a website. It gives actual values of different attributes of website. It can be further used to distinguish between good site design and bad site design. The web page can be evaluated on the basis of different parameter like size of the page, quality of information load time, content available etc. Nowadays website and Internet are emerging media require improvement in their quality for better customer satisfaction. If the website has high page load time or have ambiguous script it results to freeze of web browser due to this user gets irritated and switch to another site. To improve the quality of website and for better understanding we need to measure the website design using the web page metrics. In this paper I gathered the data from Alexa Website and categorize them into good site design and bad site design on the basis of metrics. I have proposed 15 new metrics related to web page design. To achieve our goal we investigate 19 metrics. We present the conclusion of enumerative analysis of web page attributes. The end result of this paper can be used in reckonable studies in designing of web site.
Keywords: Website, Metrics, Web page, Web Page Quality, Empirical Studies, Web Site Design.

Scope of the Article: Web Technologies