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Your tests are there to prove that every situation you can think of still works correctly after change. They should be on specific data not random because you are creating specific tests of situations you are afraid could break. As my mentor told me years ago "Keep writing tests until boredom overtakes fear" - in other words if you are afraid of random data pick some specific random data and write the specific tests for that.

The problem with random data is they don't fail often. Instead of random data in a unit test which can go years before it finds the bad input you should turn your random test into something either a fuzzer or theorem prover (the tools solve slightly different problems so both are good) can use and let the tool run for the hours it takes to get results.






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