Beginner Topic 14 of 50 Software Engineering
Test-Driven Development
Writing failing tests before the code that satisfies them.
How it works
Test-driven development is a practice where you write a failing test first, write the minimal code to make it pass and then refactor, repeating in short red, green, refactor cycles. Tests specify behavior before implementation, driving small steps and simple design. The resulting suite acts as a safety net and as executable documentation.
Step-by-step walkthrough
- Write a test for behavior that does not exist yet, it fails (red).
- Write the simplest code to make it pass (green).
- Clean up the code while the test protects you (refactor).
- Repeat with the next small behavior.
- The tests become a safety net and a design guide.
Where it is used
Developers use TDD for business logic, algorithms, bug fixes, where a failing test reproduces the bug first, and libraries with well-defined interfaces. It encourages loosely coupled, testable designs.
Common pitfall
Writing large tests or too much code per cycle loses the benefits. TDD is less natural for exploratory work, visual interfaces and highly uncertain designs. Tests tied to implementation make refactoring painful. Skipping the refactor step leaves messy code. Start with the simplest test, keep cycles to a few minutes and test behavior.
Where it fits in the course
Test-Driven Development is topic 14 of 50 in Software Engineering, rated Beginner. It follows Integration Testing. The next topic is Software Documentation.
Practice and explore
- Open the interactive lesson, with a mini quiz.
- Take the Software Engineering quiz.
How to study this topic
- Read the explanation above and restate the definition in your own words.
- Open the interactive lesson and answer its mini quiz.
- Read the common pitfall, then write a short example that avoids it.
- Check your understanding in the Software Engineering quiz, and revisit the topic if you miss a question.
Frequently asked questions
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Related topics
- Integration Testing (Software Engineering)
- Software Documentation (Software Engineering)
- Unit Testing (Software Engineering)
- Bug Tracking (Software Engineering)
- Training and Test Sets (AI & Machine Learning)
- Event-Driven Concurrency (Concurrency & Parallelism)
- Trunk-Based Development (DevOps & Tooling)