Abstract
Model-based testing is a popular technology for automatic and systematic test case generation (TCG), where a system-under-test (SUT) is tested for conformance with a model that specifies its intended behavior. Model-based mutation testing is a specific variant of model-based testing that is fault-oriented. In mutation testing, the test case generation is guided by a mutant, an intentionally altered version of the original model that specifies a common modeling error.
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