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This presentation challenges the "norm" for TDD. Testing should be an integral part of your daily programming practice. But you don’t always need to derive your code via many test-code-revise-retest cycles to be test-driven. Some find it more natural to outline a related set of tests first, and use those test scenarios to guide them as they write code. Once they’ve completed a “good enough” implementation that supports the test scenarios, they then write those tests and incrementally fix any bugs as they go. As long as you don’t write hundreds of lines of code without any testing, there isn’t a single best way to be Test Driven. There’s a lot to becoming proficient at TDD. Developing automated test suites, refactoring and reworking tests to eliminate duplication, and testing for exceptional conditions, are just a few. Additionally, acceptance tests, smoke tests, integration, performance and load tests support incremental development as well. If all this testing sounds like too much work, well…let’s be practical. Testing shouldn’t be done just for testing’s sake. Instead, the tests you write should give you leverage to confidently change and evolve your code base and validate the requirements of the system. That’s why it is important to know what to test, what not to test, and when to stop testing.
This presentation challenges the "norm" for TDD. Testing should be an integral part of your daily programming practice. But you don’t always need to derive your code via many test-code-revise-retest cycles to be test-driven. Some find it more natural to outline a related set of tests first, and use those test scenarios to guide them as they write code. Once they’ve completed a “good enough” implementation that supports the test scenarios, they then write those tests and incrementally fix any bugs as they go. As long as you don’t write hundreds of lines of code without any testing, there isn’t a single best way to be Test Driven. There’s a lot to becoming proficient at TDD. Developing automated test suites, refactoring and reworking tests to eliminate duplication, and testing for exceptional conditions, are just a few. Additionally, acceptance tests, smoke tests, integration, performance and load tests support incremental development as well. If all this testing sounds like too much work, well…let’s be practical. Testing shouldn’t be done just for testing’s sake. Instead, the tests you write should give you leverage to confidently change and evolve your code base and validate the requirements of the system. That’s why it is important to know what to test, what not to test, and when to stop testing.
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