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Cloud based mobile application testing

Authors: Logeshwaran Murugesan; Prakash Balasubramanian;

Cloud based mobile application testing

Abstract

The testing of a mobile application is a difficult task keeping in mind the diversity in mobile devices and the runtime environment. Also the need of resources to test a mobile application varies from mobile phones to tablet. At present there are tools which can simulate the mobile environment to test mobile applications. These stimulators simulate only the functionality of a particular operating system but not the processor cores, speed, memory, cache size of the mobile device. In order to overcome the above short comings we move to cloud testing. In cloud computing we can easily allocate the required resources using virtualization and also it is easy to scale up our resources anytime without affecting the entire system. The major advantage in cloud is that it is cost-effective. In this paper we define a cloud based mobile testing model which can test application for different mobile environments and platforms.

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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).
    Top 10%
    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!
13
Average
Top 10%
Top 10%
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