Fifth in a series focusing on using JMeter for functional testing of an API.
When is it good for a test fail? When you expect it to!
In the last tutorial we created validation on our Signin Library module to make sure that when we expected the test to pass that we got back the data we expected. Our test would then fail when we expected correct data but got something else. But what about when we need to make sure something correctly fails? What if we want to intentionally provide bad data and make sure that the application returns the correct error?
It’s called negative Validation, and we will tackle it in this tutorial.