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Sorry, I do not have a solution to the high error rate in unit-tests, except in very exceptional situation to write automatic validation of those unit-tests, either by by unit-testing or writing specific static analysis of this code.
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Also unit-tests often are very repetitive and copy-paste errors and the loss of concentration looking at repetitive code is a large source of bugs in the unit-tests. The very high rate of errors in the unit-tests themselves are due to the size of the unit-test compared to the code under test, which is often an order of magnitude larger.
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In very high quality software be prepared to make unit-test to test your unit-tests.
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I found that 90% of the bugs I find are in the unit-tests themselves, only rarely the code under test.Make it easy to add tests, for the above to work under time pressure of fixing a bug it should be easy to add tests for bugs.Write tests to reproduce bugs, then fix the bug.When testing it is better if your code fails on an assert close to the problem, instead of failing the result condition of the test. Litter your code with asserts, check pre-conditions, post-conditions, if objects hold invariants, check intermediate calculations.
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I sometimes only run a subset of slow tests in debug builds, while release builds do the full suite. If the tests are slow then you don't want to run the tests as often. You want to test often to find problems quickly, which makes it easier to find. Having tests fail when the function under test is correct takes too much time debugging problems that didn't actually exist. (Last I checked ) this is something that will need more tools and best practices but I hope you contribute. I'm paying attention to contracts which are likely in minimal form for 23. I haven't found value in paid static analysis, but that is mostly because the license terms we got made them too hard to work with, you might have better luck. Clang has a static analysis that seems good as well, but I haven't got it working yet.
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Upgrade your compilers all the time, even if you use an old version in production. I've been warned that sometimes compilers disagree and so you can't do this, but I haven't had a problem.
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Turn one all compiler warnings in every compiler you can find and build with warnings are errors. i think it might exists, but someone who has experience would need to spend a few months working with us and our process. We played with acceptance tests, but never got value. The jury is still out, I haven't convinced anyone else to use it. We are using Google test, but personally ive been playing with catch2 and I think I prefer it. Reading back, did I say anything that is non-obvious?Įvery thing I can.that provides value. In maintenance, TDD is natural in the sense that you first reproduce the error, add that test to your (regression) test base, and change code only after that. I am no big fan of pure TDD during development, but if it works for you, fine. After that you can derive specific internal boundaries from a code inspection, but still try to avoid testing the implementation. Test according to the specs, not according to the implementation.
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Choose one, or write something simple yourself (it's no rocket science), and spend your time on writing actual tests. Anything beyond that is of course even better (automated tests, run on each commit, high test coverage, both unit, integration, and end-to-end test, etc.), but the first step is the most important.ĭon't bother too much which framework you use. Having any tests at all is so much better than no tests. I think the first and foremost directive is just test.