Evaluating web page reliability across varied browsing environments

Web page reliability is significantly influenced by thebrowser, browser version, and operating system incorpo-
rated in end-user browsing environments. The tool we have
developed evaluates reliability of web-bound content across
various client platforms based on the relationship between
two key accessibility factors: (1) the HTML tags that struc-
ture a given web page and (2) the support provided for each
tag in target browsing environments. To optimize evaluation
accuracy, we have designed a learning mechanism that in-
ductively acquires knowledge of tag support criteria based
on observed samples of accessible (properly rendered) and
inaccessible (faulty) web page source code. Our contribu-
tion is expected to provide web developers with a basis for
maximizing audience reach through improved awareness of
the browsing environment profiles associated with dimin-
ished accessibility to their websites.