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How TDD and DDT Differ
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The techniques that we describe in this book are not, for the most part, incompatible with TDD in fact, we hope TDDers can take these principles and techniques and apply them successfully in their own projects. But there are some fundamental differences between our guiding philosophy and those of the original TDD gurus, as we show in Table 1 1. We explain our comments further in the top 10 lists at the start of s 2 and 3. Table 1 1. Differences Between TDD and ICONIX/DDT
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Tests are used to drive the design of the application.
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ICONIX/DDT
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With DDT it s the other way around: the tests are driven from the design, and, therefore, the tests are there primarily to validate the design. That said, there s more common ground between the two processes than you might think. A lot of the design churn (aka refactoring) to be found in TDD projects can be calmed down and given some stability by first applying the up-front design and testing techniques described in this book. The design is the design, the code is the code, and the tests are the tests. With DDT, you ll use modern development tools to keep the documented design model in sync with the code.
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The code is the design and the tests are the documentation.
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CHAPTER 1 SOMEBODY HAS IT BACKWARDS
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Following TDD, you may end up with a lot of tests (and we mean a lot of tests). TDD tests have their own purpose; therefore, on a true test-first project the tests will look subtly different from a classical fine-grained unit test. A TDD unit test might test more than a single method at a time.
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ICONIX/DDT
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DDT takes a test smarter, not harder approach, meaning tests are more focused on code hot spots. In DDT, a unit test is usually there to validate a single method. DDT unit tests are closer to real unit tests. As you write each test, you ll look at the detailed design, pick the next message being passed between objects, and write a test case for it. DDT also has controller tests, which are broader in scope.5 So TDD tests are somewhere between unit tests and controller tests in terms of scope. DDT acceptance tests (which encompass both scenario tests and business requirement tests) are manual test specs for consumption by a human. Scenario tests can be automated (and we recommend doing this if at all possible), but the process doesn t depend on it.
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TDD doesn t have acceptance tests unless you mix in part of another process. The emphasis (e.g., with XP) tends to be on automated acceptance tests: if your executable specification (aka acceptance tests) can t be automated, then the process falls down. As we explore in Part 3, writing and maintaining automated acceptance tests can be very difficult. TDD is much finer-grained when it comes to design.6 With the test-first approach, you pick a story card from the wall, discuss the success criteria on the back of the card with the tester and/or customer representative, write the first (failing) test, write some code to make the test pass, write the next test, and so on, until the story card is implemented. You then review the design and refactor if needed, i.e., after-the-event design. A green bar in TDD means all the tests I ve written so far are not failing.
We actually view DDT as pretty fine-grained: you might base your initial design effort on, say, a package of use cases. From the resulting design model you identify your tests and classes, and go ahead and code them up. Run the tests as you write the code.
A green bar in DDT means all the critical design junctures, logical software functions, and user/system interactions I ve implemented so far are passing as designed. We know which result gives us more confidence in our code
If some code is already covered by a controller test, you don t need to write duplicate unit tests to cover the same code, unless the code is algorithmic or mission-critical in which case, it s an area of code that will benefit from additional tests. We cover design-driven algorithm testing in 12. Kent Beck s description of this was a waterfall run through a blender.
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