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IJIET 2015 Vol.5(9): 650-655 ISSN: 2010-3689
DOI: 10.7763/IJIET.2015.V5.585

A Comparison of Navigation Model between UWE and WebML: Homepage Development Case Study

Karzan Wakil, Dayang N. A. Jawawi, and Amirhossein Safi

Abstract—Web Engineering is a systematic approach for the development of web applications. In this area navigation model is defined as an important model in all the hypermedia and web engineering methods. Also homepage is one of the most important pages on the websites, because it is considered to be the key element that demonstrates the quality of websites. The web engineering methods still have weaknesses that are difficult for designers to design homepage's content perfectly. In this paper we compare navigation model between UML-Based Web Engineering (UWE) and Web Modeling Language (WebML). The purpose of this paper is to find a quality in these methods for the homepage's development, through designing navigation model in UWE and WebML, and comparing the elements of the navigation model. The result of this paper helps the designers to develop the homepages in order to solve of the weakness's navigation model.

Index Terms—Web engineering, navigation model, homepage, UWE, WebML.

Karzan Wakil is with Fine Arts Institute in Sulaimaniyah, Iraq (e-mail: karzanwakil@gmail.com).
Dayang N. A. Jawawi and Amirhossein Safi are with the Software Engineering Department, Faculty of Computing, Universiti Teknologi, Malaysia (e-mail: dayang@utm.my, samirhossein2@utm.my).

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Cite: Karzan Wakil, Dayang N. A. Jawawi, and Amirhossein Safi, "A Comparison of Navigation Model between UWE and WebML: Homepage Development Case Study," International Journal of Information and Education Technology vol. 5, no. 9, pp. 650-655, 2015.

General Information

  • ISSN: 2010-3689 (Online)
  • Abbreviated Title: Int. J. Inf. Educ. Technol.
  • Frequency: Monthly
  • DOI: 10.18178/IJIET
  • Editor-in-Chief: Prof. Jon-Chao Hong
  • Managing Editor: Ms. Nancy Y. Liu
  • E-mail: editor@ijiet.org
  • Abstracting/ Indexing: Scopus (CiteScore 2023: 2.8), INSPEC (IET), UGC-CARE List (India), CNKI, EBSCO, Google Scholar
  • Article Processing Charge: 800 USD

 

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