How does Equivalence Partitioning help in identifying edge cases in API testing?
- By dividing input data into different groups
- By executing all possible combinations
- By focusing only on valid inputs
- By providing a specific set of test cases
Equivalence Partitioning involves categorizing input data into equivalence classes. This helps in identifying edge cases by selecting representative test cases from each class, ensuring thorough coverage and testing for various scenarios. It allows testers to focus on specific data sets that are likely to expose potential issues in the API.
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