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dc.contributor.authorSehgal, Ankita
dc.description.abstractThe use of mobile devices to access the information on the World Wide Web is growing rapidly. The growth has created a surge in the number of webpages being designed for mobile devices. In order to support efficient mobile browsing, some markup languages (e.g., WML and XHTML Mobile Profile) and standards (Mobile Web Best Practices) have been developed to specifically support the rendering of information on mobile devices. Evaluating the mobile webpages manually against the guidelines requires a tremendous amount of work. This research paper focuses on automatic evaluation of mobile webpages, a process which offers many advantages in terms of saving time, reducing costs and many others. In this paper, an extensive inspection of the 46 most popular mobile websites, according to Mobile Web Best Practices using MobileOK checker [WMC09], has been conducted. The results have been provided and analyzed to make specific and general suggestions to improve the design and development of mobile websites. We believe that the analysis will help developers produce more user-friendly mobile websites while considering the Mobile Web Best Practices. Furthermore, the paper also presents a generic approach to represent the W3C Mobile Web Guidelines as an XML schema, which provides flexibility to design rule schemas in an open format; the schemas can be added to an automated tool that is used to evaluate the mobile webpages. The XML schema can also be used to redesign the rule if there is a change in the guidelines.en_US
dc.publisherNorth Dakota State Universityen_US
dc.rightsNDSU policy 190.6.2en_US
dc.titleAutomatic Evaluation of Mobile Web Pagesen_US
dc.typeMaster's Paperen_US
dc.date.accessioned2024-01-05T18:00:49Z
dc.date.available2024-01-05T18:00:49Z
dc.date.issued2010
dc.identifier.urihttps://hdl.handle.net/10365/33575
dc.subject.lcshWeb sites -- Design -- Evaluation.en_US
dc.subject.lcshMobile communication systems.en_US
dc.subject.lcshWeb browsing.en_US
dc.rights.urihttps://www.ndsu.edu/fileadmin/policy/190.pdfen_US
ndsu.degreeMaster of Science (MS)en_US
ndsu.collegeEngineeringen_US
ndsu.departmentComputer Scienceen_US
ndsu.programComputer Scienceen_US
ndsu.advisorKong, Jun


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