How does Equivalence Partitioning in API testing differ when applied to complex data structures?
- It becomes irrelevant
- It enhances test coverage
- It increases testing complexity
- It simplifies the testing process
Equivalence Partitioning in API testing is crucial for handling complex data structures. Unlike simple data structures, where testing may focus on distinct values, complex data structures require partitioning based on intricate relationships and nested conditions. This enhances test coverage by addressing various scenarios, ensuring robust API functionality.
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