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Environmental Modeling for Automated Cloud Application Testing

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6 Author(s)
Linghao Zhang ; Nanjing Univ., Nanjing, China ; Xiaoxing Ma ; Jian Lu ; Tao Xie
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Platforms such as Windows Azure let applications conduct data-intensive cloud computing. Unit testing can help ensure high-quality development of such applications, but the results depend on test inputs and the cloud environment's state. Manually providing various test inputs and cloud states is laborious and time-consuming. However, automated test generation must simulate various cloud states to achieve effective testing. To address this challenge, a proposed approach models the cloud environment and applies dynamic symbolic execution to generate test inputs and cloud states. Applying this approach to open-source Azure cloud applications shows that it can achieve high structural coverage.

Published in:

Software, IEEE  (Volume:29 ,  Issue: 2 )

Date of Publication:

March-April 2012

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