What is the difference between comparison and equivalence partitioning?

What is the difference between comparison and equivalence partitioning?

Comparison and equivalence partitioning are both testing techniques. Comparison involves evaluating two or more items against each other, while equivalence partitioning divides input data into valid and invalid partitions to reduce test cases.

Can you give me an example of equivalence partitioning?

Sure! If you're testing a function that accepts age as input, you could create partitions like: valid ages (0-120), invalid ages (negative numbers, over 120), and boundary values (0, 120).

How does this help in software testing?

It helps by minimizing the number of test cases while ensuring that all possible scenarios are covered, making testing more efficient.

Are there any limitations to these techniques?

Yes, one limitation is that they may not cover all edge cases, so it's important to combine them with other testing methods for comprehensive coverage.