this post was submitted on 09 Jul 2023
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Programming

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100% code coverage is near-meaningless - but is there a good measure to use? (feddit.uk)
submitted 1 year ago by [email protected] to c/[email protected]
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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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[–] [email protected] 9 points 1 year ago (1 children)

Mutation testing. Someone else mentioned it as PIT testing, but its actual name is mutation testing. It accomplished exactly what you’re looking for here.