How do I implement equivalence partitioning in testing?
An example of an AI chatbot conversation about implementing equivalence partitioning in software testing.
How do I implement equivalence partitioning in testing?
Equivalence partitioning is a testing technique that divides input data into partitions to reduce the number of test cases. Would you like to know the steps to implement it?
Yes, please outline the steps for me.
First, identify the input domain of the application. Then, divide this domain into valid and invalid partitions. Next, select representative test cases from each partition. Finally, execute the tests and analyze the results.
Can you give me an example of this in practice?
Sure! For a function that accepts age as input, valid partitions could be 0-17 (invalid), 18-65 (valid), and 66+ (valid). You would test with values from each of these ranges.
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