Developing E-Government Interoperability Driven Methodology
Zuhoor Al-Khanjari, Nasser Al-Hosni, Naoufel Kraiem, and Yassine Jamoussi
Department of Computer Science, College of Science, Sultan Qaboos University, PO Box 36, Al-Khoudh 123, Muscat,
Oman
Abstract—Developing e-Government interoperability in the government context is a complex task. As interoperability in government context is associated and hindered by many challenges and barriers connected to government nature of complexity. Interoperability is generally defined as the ability for two (or more) systems to exchange information and to use the information that has been exchanged. In this paper, we focus on computing systems interoperability across government ministries to achieve interoperable e- Government IT based solutions. In order to achieve e- Government interoperability in an organised and efficient way, this paper establishes a step-by-step e-Government Interoperability Driven Methodology. This contribution is motivated by the limitations of the traditional software engineering methodologies in terms of analysis, design and development frameworks to a point that they can hardly cope with the growing issues of e-Government services interoperability.
Index Terms—E-Government, E-Government Interoperability, E-Government Services Interoperability, E-Government Interoperability Driven Methodology, Service Oriented Development Methodology.
Cite: Zuhoor Al-Khanjari, Nasser Al-Hosni, Naoufel Kraiem, and Yassine Jamoussi, "Developing E-Government Interoperability Driven Methodology," Journal of Emerging Technologies in Web Intelligence, Vol. 6, No. 3, pp. 318-323, August 2014. doi:10.4304/jetwi.6.3.318-323
Index Terms—E-Government, E-Government Interoperability, E-Government Services Interoperability, E-Government Interoperability Driven Methodology, Service Oriented Development Methodology.
Cite: Zuhoor Al-Khanjari, Nasser Al-Hosni, Naoufel Kraiem, and Yassine Jamoussi, "Developing E-Government Interoperability Driven Methodology," Journal of Emerging Technologies in Web Intelligence, Vol. 6, No. 3, pp. 318-323, August 2014. doi:10.4304/jetwi.6.3.318-323
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