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CHAPTER 1 SOMEBODY HAS IT BACKWARDS
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the goal can never be achieved By contrast, we wanted DDT to provide a clear, achievable goal. Completeness in DDT isn t about blanket code coverage, it s about ensuring that key decision points in the code logical software functions are adequately tested.
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Leaving Testing Until Later Costs More
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You still see software processes that put testing as a self-contained phase, all the way after requirements, design, and coding phases. It s well established that leaving bug-hunting and fixing until late in a project increases the time and cost involved in eliminating those bugs. While it does make sense intuitively that you can t test something before it exists, DDT (like TDD and other agile processes) gets into the nooks and crannies of development, and provides early feedback on the state of your code and the design.
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Testing Badly Designed Code Is Hard
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It sounds obvious, but code that is badly designed tends to be rigid, difficult to adapt or re-use in some other context, and full of side effects. By contrast, DDT inherently promotes good design and wellwritten, easily testable code. This all makes it extremely difficult to write tests for. In the TDD world, the code you create will be inherently testable, because you write the tests first. But you end up with an awful lot of unit tests of questionable value, and it s tempting to skip valuable parts of the analysis and design thought process because the code is the design. With DDT, we wanted a testing process that inherently promotes good design and well-written, easily testable code.
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Note Every project that Matt has joined halfway through, without exception, has been written in such a way as to make the code difficult (or virtually impossible) to test. Coders often try adding tests to their code and quickly give up, having come to the conclusion that unit testing is too hard. It s a widespread problem, so we devote 9 to the problem of difficult-to-test code, and look at just why particular coding styles and design patterns make unit testing difficult.
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It s Easy to Forget Customer-Level Tests
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TDD is, by its nature, all about testing at the detailed design level. We hate to say it, but in its separation from Extreme Programming, TDD lost a valuable companion: acceptance tests. Books on TDD omit this vital aspect of automated testing entirely, and, instead, talk about picking a user story (aka requirement) and immediately writing a unit test for it. DDT promotes writing both acceptance tests and unit tests, but at its core are controller tests, which are halfway between the two. Controller tests are developer tests, that look like unit tests, but that operate at the conceptual design level (aka logical software functions ). They provide a highly beneficial glue between analysis (the problem space) and design (the solution space).
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CHAPTER 1 SOMEBODY HAS IT BACKWARDS
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Developers Become Complacent
It s not uncommon for developers to write a few tests, discover that they haven t achieved any tangible results, and go back to cranking out untested code. In our experience, the 100% code coverage holy grail, in particular, can breed complacency among developers. If 100% is impossible or impractical, is 90% okay How about 80% I didn t write tests for these classes over here, but the universe didn t implode (yet) so why bother at all If the goal set out by your testing process is easily and obviously achievable, you should find that the developers in your team go at it with a greater sense of purpose. This brings us to the last issue that DDT tackles.
Tests Sometimes Lack Purpose
Aimless testing is sometimes worse than not testing at all, because it provides an illusion of safety. This is true of both manual testing (where a tester follows a test script, or just clicks around the UI and deems the product good to ship), and writing of automated tests (where developers write a bunch of tests in an ad hoc fashion). Aimless unit testing is also a problem because unit tests mean more code to maintain and can make it difficult to modify existing code without breaking tests that make too many assumptions about the code s internals. Moreover, writing the tests themselves eats up valuable time. Knowing why you re testing, and knowing why you re writing a particular unit test being able to state succinctly what the test is proving ensures that each test must pull its own weight. Its existence, and the time spent writing it, must be justified. The purpose of DDT tests is simple: to prove systematically that the design fulfills the requirements and the code matches up with the design.
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