Coding & Software AI
Test generation
Using AI or automation to create test cases or test code.
Example
An assistant drafts tests for empty input, invalid dates, and unusually large values.
Why it matters
It helps cover more cases and reduces repetitive work in preparing checks.
You'll hear it
“The generated test repeats the same assumption as the function.”
Can you control it?
Yes
Yes. You can often use or adjust test generation directly when the product supports it. The available options and their effect still depend on the tool.
Common questions
- Can AI invent an incorrect expected result?
- Yes. The test's answer needs verification as much as the program being checked.
- Does a large number of tests mean good coverage?
- No. Many similar cases can leave important behavior untested.
- Can generated tests be useful even when they need editing?
- Yes. They can suggest overlooked cases or provide a starting structure.