In a scenario where an API accepts a range of numeric inputs, how would you apply Equivalence Partitioning to test this effectively?
- Test random values without considering the range
- Test values at the lower and upper bounds of the range
- Test values just outside the specified range
- Test values just within the specified range
Equivalence Partitioning is a testing technique where input values are divided into different partitions, and testing is performed using representative values from each partition. In this scenario, testing at the lower and upper bounds ensures that the API handles edge cases effectively, helping to identify potential issues related to boundary conditions.
Loading...
Related Quiz
- How does a mock service benefit API testing?
- How does conditional GET affect the testing and performance of API caching?
- How does load testing differ from stress testing in API performance testing?
- Advanced API performance testing involves simulating real-world scenarios using _________ to test how the API behaves under varied and complex conditions.
- What strategy should be employed when an API deprecation is likely to cause significant disruption to existing workflows?