Neural networks · Question 38 of 60
What are coverage measures for neural networks mainly used for?
2 answers are correct. Medium
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Answer
- A They reveal areas of the model that remain untested and may hide defects or unlearned behaviors
- B They help testers design additional test inputs for underexplored parts of the network
Explanation
Coverage measures mainly help to reveal untested areas of the model in which defects or unlearned behaviors may hide. Testers can derive additional test inputs from this. However, structural coverage alone does not guarantee good generalization.