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BDD vs TDD vs ATDD : Key Differences, BDD vs TDD vs ATDD : Key Differences…
TDD Benefits
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Eliminates fear of change. If a code change introduces a bug, developers are alerted to it quickly, and TDD’s tight feedback loop will quickly notify them when it’s fixed.
A safety net which makes continuous deployment safer. Test failures halt the deployment process, allowing you to fix bugs before customers ever have the chance to see them.
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Better code coverage than writing tests after the fact. Because we create code to make a specific test pass, code coverage will be close to 100%.
Faster developer feedback loop. Without TDD, developers must manually test each change to ensure that it works. With TDD, unit tests can run on-change automatically, providing faster feedback during development and debugging sessions.
Interface design aid: Developers often think about the software implementation before thinking about the developer experience of using the software component. TDD flips this around, forcing developers to design the API before working on the implementation.
KISS and YAGNI — “Keep it Simple, Stupid”, and “You Ain’t Gonna Need It” are two overlapping software design principles. KISS means just like what it sounds like it means. Keep things simple. YAGNI means don’t build features and abstractions unless those features serve a specific existing requirement (not a future requirement). TDD helps with that process by forcing you to work in small iterations, tackling one requirement at a time on an as-needed basis.
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TDD Costs
Users without TDD experience may find they move 15% — 30% slower, but with 1–2 year’s practice, TDD’s realtime feedback process can enhance productivity.
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Benefits
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Allows any team member to start working on the code in the absence of a specific team member. This encourages knowledge sharing and collaboration
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In this technique, a QA engineer starts designing and writing test cases for every small functionality of an application. This technique attempts to answer a simple question – Is the code valid? The main intention of this technique is to modify or write a fresh code only when the test fails. Hence it results in lesser duplication of test scripts. This technique is largely popular in agile development ecosystems.
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