By Lasse Koskela
Potent Unit trying out teaches Java builders tips to write unit exams which are concise, expressive, beneficial, and maintainable. supplying crisp factors and easy-to-absorb examples, it introduces rising options like behavior-driven improvement and specification by way of example.
Programmers who're already unit checking out will study the present state-of-the-art. those people who are new to the sport will study practices that may serve them good for the remainder of their profession.
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Extra resources for Effective Unit Testing
Info 24 CHAPTER 2 In search of good A colleague used to call such tests happy tests, referring to a test happily executing a piece of production code—possibly all of its execution paths—without a single assertion being made. Yes, your test coverage reports look awesome as the tests are thoroughly executing every bit of code you’ve written. The problem is that such tests can only fail if the production code being invoked throws an exception. You can hardly rely on such tests to watch your back, can you?
2 Structure helps make sense of things I’ve had the pleasure and horror of seeing numerous code bases that weren’t full of beautiful strides of genius flowing from one source file to the next. Some of them never jumped to another source file because it was all there—all of the code and logic triggered by, say, the submission of a web form would reside in a single source file. I’ve had a text editor crash due to the size of a source file I foolishly tried to open. I’ve seen a web application vomit an error because a JavaServer Pages file had grown so big that the resulting byte code violated the Java class file specification.
It’s not just about your tests’ readability, but also their reliability and general trustworthiness as well as the time it takes to run those tests. 3 illustrates the system of forces around tests that influences our productivity. Note how the two direct influences for productivity I’ve identified in this figure are the length of the feedback cycle and debugging. In my experience these are the two main culprits that consume a programmer’s time while on the keyboard. 4 Time spent debugging is rework that could’ve largely been avoided if you’d learned about the mistake soon after it happened—and the longer your feedback cycle is, the longer it takes to even begin debugging.