Abstract:Behavioral models are important assets that must be thoroughly verified early in the design process. This can be achieved with manuallywritten test cases that embed carefully hand-picked domain-specific input data. However, such test cases may not always reach the desired level of quality, such as high coverage or being able to localize faults efficiently. Test amplification is an interesting emergent approach to improve a test suite by automatically generating new test cases out of existing manually-written o… Show more
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