Functional Coverage Goals and Randomization Weights
In a constrained random approach, different items can be selected more frequently by using randomization weights. Items with a higher randomization weight are selected more frequently. In Intelligent Coverage, the same effect can be achieved by using coverage goals. A coverage goal specifies how many times a value must land in a bin before the bin is considered covered. Each bin within the coverag... »