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As service-oriented architecture matures and more Web services become available, developers must test an ever-increasing volume of services. A framework that defines and evaluates test-case potency based on coverage relationships can reduce testing effort while maintaining testing's effectiveness.
Testing a group of software artifacts that implement the same specification can be time consuming, especially when the test case repository is large. In the meantime, some test cases may cover the same aspects in the software, thus it is not necessary to apply all the test cases. This paper proposes a model-based adaptive test (MAT) case selection and ranking technique to eliminate duplicate test...
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