Proceedings of the 2013 International Symposium on Software Testing and Analysis
Guided test generation for database applications via synthesized database interactions
ACM Transactions on Software Engineering and Methodology (TOSEM)
Challenges in developing software for cyber-physical systems
Proceedings of the 5th Asia-Pacific Symposium on Internetware
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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.