![]() ![]() And it’s almost impossible to achieve high code coverage in a large-scale project with complicated logic that can lead to multiple errors. It’s easier to cover more code with unit tests in small and mid-sized projects - and when using test automation. They also won’t report on the absence of features that should have been implemented.Īnother crucial thing is to understand when you should concentrate on a high coverage percentage and when you shouldn’t. It’s essential to remember that code coverage results can’t point to flaws in the logic of your code. 80% coverage is also a decent result, but there’s a risk that this 80% won’t cover the main scenario. Even an empty method can be 100% covered, but this code is useless. One of the biggest challenges related to code coverage is interpreting the results.Ĭomplete code coverage doesn’t mean that a project is fully tested. You can find commercial and open-source tools to automate the measuring process.ĭespite its advantages, measuring code coverage isn’t a silver bullet for checking code efficiency. ![]() After that, your code coverage score can change and direct your attention to a potential bug or another issue. If you change a method, the test can fail. Passing tests shows that correct performance is possible, but only for a certain set of input parameters.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |