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Mobile Cloud Computing Testing Review

Authors: Ahmad Salah Al-Ahmad; Syed Ahmad Aljunid; Anis Shobirin Abdullah Sani;

Mobile Cloud Computing Testing Review

Abstract

As mobile cloud computing applications are becoming widely used to mitigate the limitations of mobile devices and exploit cloud services, testing these applications becomes critical. Testing mobile cloud application is complicated further due to dynamic assign of cloud resource to applications that run on mobile devices, due to the increased multiple factors in test case generations and execution. This paper will critically review the three related areas of mobile, cloud and mobile cloud applications testing, in terms of features and models. Furthermore, it will show the necessity of a mobile cloud computing applications testing model due to its uniqueness from both native mobile application testing models and cloud applications testing models. Based on this review, although testing mobile cloud computing applications is critical, there is currently no model to test mobile cloud computing applications.

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    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.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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!
9
Average
Average
Top 10%
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