Abstract:
Internet websites are promising as the
products for providing services. The key issues
related to website engineering are very essential.
These websites need to measure and evaluate for
quality and for better understanding. Several
Metrics were proposed to correspond with items
that Web usability guideline associate with good
design. In this paper, we investigate empirically
the web page quality on the basis of the 16
assessed metrics. We also propose Support
Vector Machine (SVM) prediction model to
predict the classification of the good web pages
and not good web pages. We collect web sites
from Webby awards data (2001-2010) and Top
Ten PC Magazines. We express the findings of
quantitative analysis of web page attributes and
how these attributes are calculated. The metrics
captured in SVM model can be used to predict
the good and the bad of website design.
