By Lasse Koskela
Potent Unit checking out teaches Java builders tips to write unit checks which are concise, expressive, invaluable, and maintainable. providing crisp reasons and easy-to-absorb examples, it introduces rising recommendations like behavior-driven improvement and specification by means of example.
Programmers who're already unit trying out will study the present state-of-the-art. those who find themselves new to the sport will examine practices that would serve them good for the remainder of their occupation.
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Additional resources for Effective Unit Testing
Info Reliable tests are reliable 23 One of the most unusual examples of a surprising test failure is a test that passes as part of the whole test suite but fails miserably when it’s run alone (or vice versa). Those symptoms reek of interdependent tests. They assume that another test is run before they are, and that the other test leaves the system in a particular state. When that assumption kicks you in the ankle, you have one hellish debugging session ahead. To summarize, you should be extra careful when writing tests for code that deals with time, randomness, concurrency, infrastructure, persistence, or networking.
Google had estimated that it cost $5 to fix a bug immediately after a programmer had introduced it. Fixing the same defect would cost $50 if it escaped the programmer’s eyes and was found only after running a full build of the project. The cost surged to $500 if it was found during an integration test, and to $5000 if it managed to find its way to a system test. Considering these numbers, surely it’s better to find out about such issues as soon as you possibly can! Waiting for validation and verification of a change you’ve made is largely bound to the speed of test execution, which is one of the root causes highlighted with bold in the diagram.
For example, one common trick to pack your code more tightly is to use the same name for many variables— because the resulting code compresses a bit better like that. It’s crazy. What’s also crazy is the resulting code. When they’re done squeezing the code down to 1,024 bytes, the source code is undecipherable. You can barely recognize which programming language they’ve used! It’s essentially a write-only code base— once you start squeezing and compressing, you can’t make functional changes because you wouldn’t be able to tell what to edit where and how.
Effective Unit Testing by Lasse Koskela