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Is there some formal way(s) of quantifying potential flaws, or risk, and ensuring there's sufficient spread of tests to cover them? Perhaps using some kind of complexity measure? Or a risk assessment of some kind?

Experience tells me I need to be extra careful around certain things - user input, code generation, anything with a publicly exposed surface, third-party libraries/services, financial data, personal information (especially of minors), batch data manipulation/migration, and so on.

But is there any accepted means of formally measuring a system and ensuring that some level of test quality exists?

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[-] MagicShel@programming.dev 29 points 1 year ago* (last edited 1 year ago)

Pit testing is useful. It basically tests how effective your tests are and tells you missed conditions that aren’t being tested. For Java. https://pitest.org

[-] mattburkedev@programming.dev 6 points 1 year ago

The most extreme examples of the problem are tests with no assertions. Fortunately these are uncommon in most code bases.

Every enterprise I’ve consulted for that had code coverage requirements was full of elaborate mock-heavy tests with a single Assert.NotNull at the end. Basically just testing that you wrote the right mocks!

[-] Deely@programming.dev 1 points 1 year ago

Yeah. All the same. Create lazy metric - get lazy and useless results.

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this post was submitted on 09 Jul 2023
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