When should I use equivalence partitioning in testing?
An example of an AI chatbot conversation about when to use equivalence partitioning in software testing.
When should I use equivalence partitioning in testing?
Equivalence partitioning is used when you want to reduce the number of test cases while maintaining coverage. It's ideal for input validation.
Can you give me an example of how it works?
Sure! If you're testing a function that accepts age as input, you can create partitions like: under 18, 18-65, and over 65. You only need to test one value from each partition.
What are the benefits of using this technique?
The main benefits are efficiency in testing, reduced redundancy, and improved test coverage, which saves time and resources.
Are there any limitations I should be aware of?
Yes, it may not cover all edge cases, and complex scenarios might require additional testing methods alongside it.
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