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A methodology for building mobile computing applications

Authors: Minder Chen;

A methodology for building mobile computing applications

Abstract

There is a tremendous amount of interest in developing mobile enterprise computing applications, driven by recent advancements in mobile technologies and standards, as well as an increasing mobile workforce population. However, many enterprises are uncertain of the various options they may have due to the emerging nature of mobile computing technologies. Additionally, they are concerned about the integration of mobile technologies with existing IT infrastructure and applications. In this paper, we propose a methodology to help enterprises develop business strategies and architectures for mobile computing. A generic mobile technical infrastructure is presented to assist enterprises in evaluating and implementing mobile applications. Software standards that may have major impacts on mobile technical architectures and application development are discussed. Finally, the implications of the proposed methodology for mobile computing for practitioners and researchers are discussed in the conclusion.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
10
Average
Top 10%
Average
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