Please use this identifier to cite or link to this item: https://repository.sustech.edu/handle/123456789/21384
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dc.contributor.authorHasan, Mobasher Ibrahim ELmobasher-
dc.contributor.authorSupervisor, -Nisreen Beshir Osman-
dc.date.accessioned2018-09-06T07:57:32Z-
dc.date.available2018-09-06T07:57:32Z-
dc.date.issued2018-06-03-
dc.identifier.citationHasan, Mobasher Ibrahim ELmobasher . A proposed Framework for Evaluating the Quality of Websites \ Mobasher Ibrahim ELmobasher Hasan ; Nisreen Beshir Osman .- Khartoum:Sudan University of Science & Technology,College of Computer Science and Information Technology,2018.-84p.:ill.;28cm.-M.Sc.en_US
dc.identifier.urihttp://repository.sustech.edu/handle/123456789/21384-
dc.descriptionThesisen_US
dc.description.abstractThe aim of the research is to provide a proposed framework for evaluating the quality of websites regardless of the nature of the services provided by the website. It is comprehensive in terms of its containment of the main elements of the evaluation, clarity through the possibility of using numerical values to measure indicators and flexibility through its applicability to all websites, regardless of nature of service provided. The elements of the proposed model of content quality, design, organization and ease of use provide a scientifically objective way of evaluating websites and E_ Services through the World Wide Web to improve the service provided, provide a reference and a guide for designers when designing new websites. The proposed model suggests factors that designers of websites should take into consideration when designing website.en_US
dc.description.sponsorshipSudan University of Science & Technologyen_US
dc.language.isoenen_US
dc.publisherSudan University of Science and Technologyen_US
dc.subjectComputer Scienceen_US
dc.subjectEvaluatingen_US
dc.subjectQuality of Websitesen_US
dc.titleA proposed Framework for Evaluating the Quality of Websitesen_US
dc.title.alternativeإطار مقترح لتقويم جودة المواقع الإلكترونيةen_US
dc.typeThesisen_US
Appears in Collections:Masters Dissertations : Computer Science and Information Technology

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