What are the Phases of Test-Driven Development?


The Test-Driven Development methodology includes the step of creating tests before writing code. Here, the primary responsibility of the developer is to create a test for the necessary function and then build production code to pass that test.

Software testing is a crucial component of the software development life cycle and of test-driven development since it helps to identify flaws and vulnerabilities early on, which enhances the quality of the final product. Software testing should therefore be given top priority so that the finished solution can attest to its own high quality.

This approach has been found to be effective in maintaining software quality because it prioritizes requirements. By providing more features and capabilities to fulfill developer demands rather than those of the client, developers can avoid many problems.

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Phases of Test-Driven Development

  • Consider and create test cases.

  • Red - Test case failure

  • Green – Get the code completed and pass the new test case.

  • Green - Verify that all previous test cases have passed.

  • Clean up the code by refactoring it.

Continue this cycle.

Write the Test

The initial step in test-driven development is writing a test. Think about it before developing the test case. In the test-driven approach methodology, almost all tests ought to define a function.

The software developer must be aware of the project’s objectives and specifications before they can design a useful test. Without any code in front of him, the developer develops the test case in this step. On the other hand, a unit test is carried out following the writing of the code.

Before developing any code, TDD enables the developer to focus on the system requirements. It may be challenging, but doing so ensures that the developer is aware of the necessary functionality and that the test case is properly constructed.

Red (Failure of Test Case)

This test-driven approach testing step makes sure that the automated test framework performs as anticipated, that new tests do not pass without requiring new code, and that new tests do not always pass.

The new exam shouldn’t dissatisfy you in a shocking way. You now attempt to execute the test case. The lack of code will result in a compilation error. The test case failed at this point, as indicated by the color red.


Adhere to the rules necessary to pass the test. Remember that the written code’s main objective is to pass the test, even if it isn’t flawless. The code is not allowed to go beyond the functionality of the test.

The utmost amount of code required to pass the test case that previously failed is written by the developer. This method could be challenging for developers used to writing code for entire modules at once. The concept of “just enough” code could be helpful in quality assurance.


To be explicit, when testing newly developed code, the developer must ensure that no existing test case fails. Confirm that all of the earlier test cases passed. This is a regressive cycle, to put it simply.

If the test cases developed in the preceding phases all succeeded, the programmer can be sure that the new code satisfies the test requirement. If the expected outcomes are not reached, the programmer must keep modifying the code until they are.

Clean Up the Code by Refactoring it

Refactoring is essential in the test-driven approach. Once the test has been successful, the new code will be transferred from the handy location where it was tested to the place where it naturally belongs.

To prevent misunderstanding, any duplicate code must be eliminated. Since your code may need to provide some level of abstraction in order to be reusable and maintainable, variables, objects, classes, and methods should all be named appropriately to convey what they genuinely mean.

The developer now refactors the code to make sure it is still polished and functional. The creation of code is the only focus of steps three and four, with less emphasis placed on other crucial elements like maintainability and efficient design.

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Role of Test-Driven Development in Modern Development

Programmers can write and automate tests to ensure the functionality of the product they are working on because TDD helps in the early detection of coupling. To create less interrelated, easier-to-test code, developers employ object-oriented design techniques.

To keep things neat and simple, to cut down on errors, and to speed up development, they exclusively write validated code. A ton of data supports the popularity of test-driven development.

TDD improves code quality while reducing the number of production bugs. In other words, it makes managing and reading code easier. Automated regression testing is also covered.

Programming is a challenging endeavor, and being proficient in it takes months or years of dedicated practice. At best, the errors made by the software development team result in non-compilable source code. In the worst-case situation, these flaws cause the most serious issues.

Extreme programming, which strives to increase the responsiveness and caliber of software, was preceded by TDD. It is the greatest strategy for starting a new software project or when you need to rebuild outdated software into a current and useful solution for your organization.

However, it has gained favor recently as a stand-alone strategy for increasing development teams’ production and producing better code.

Test-driven development is largely dependent on these tools because the majority of contemporary software development projects substantially rely on their use. The automated test runner or automated task runner is without a doubt the most useful of these technologies.

These tools are too numerous to list here, but depending on the language or framework you’re using, you will probably have a number of choices. The ability to have all of your tests run automatically without your intervention is the automated test runner’s most obvious advantage.

Not having to worry about manually running tests is a lifesaver for developer-centric testing, such as the majority of unit testing that forms the basis for test-driven development techniques.

Even when requested files are altered, numerous automated test runners can still run the tests. This enables you to focus entirely on the code you’re writing while your tests run continuously in the background and immediately notify you if a test fails as a result of a recent change in the code.

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