Abstract
Cloud computing is currently receiving much attention from the industry, government, and academia. It has changed the way computation is performed and how services are delivered to customers. Most importantly, cloud services change the way software is designed, how data is handled, and how testing is performed. In cloud computing, testing is delivered as a service (TaaS). For instance, case testing (one of the most common validation approaches) could be used. However, executing test cases on a cloud system could be expensive and time consuming. Therefore, test case reduction is performed to minimize the number of test cases to be executed on the system. In this paper, we introduce a validation method called Context-Assisted Test Case Reduction (CATCR) for systems that are deployed on the cloud. In CATCR, test cases are reduced based on the context of the validation process. The results of previous test cases are used to select test cases for the next iteration. The minimized set of test cases needs to have effective coverage of the system on the cloud. To evaluate CATCR, an experimental evaluation is performed through Amazon’s Cloud and a Java validation tool. Experimental results are recorded and presented.
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Batarseh, F.A., Gonzalez, A.J., Knauf, R. (2013). Context-Assisted Test Cases Reduction for Cloud Validation. In: Brézillon, P., Blackburn, P., Dapoigny, R. (eds) Modeling and Using Context. CONTEXT 2013. Lecture Notes in Computer Science(), vol 8175. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40972-1_22
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DOI: https://doi.org/10.1007/978-3-642-40972-1_22
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