Table of Contents
1. Always start with tests
2. Write maintainable test cases
3. Follow the single responsibility principle
4. Create a test environment
5. Use code coverage tools
6. Automated Testing
Home Backend Development Golang Golang development experience sharing: how to conduct efficient test-driven development and unit testing

Golang development experience sharing: how to conduct efficient test-driven development and unit testing

Nov 22, 2023 am 08:44 AM
unit test test driven development golang development

Golang development experience sharing: how to conduct efficient test-driven development and unit testing

In Golang development, test-driven development and unit testing are very important. Test-driven development (TDD) is a software development method in which tests are written before the code is written, and the code cannot be compiled until the code is written to pass the tests. Unit testing is to test a small part of the code after the code is written to ensure that this small part of the code works as expected.

The following are several efficient and effective suggestions that can help developers perform test-driven development and unit testing.

1. Always start with tests

Writing test cases before writing code is the core of test-driven development. By writing end-to-end tests, you ensure that your code covers all expected scenarios, thereby reducing the risk of errors.

This requires you to have a certain understanding of the code to be developed and be able to imagine various situations that may arise. When you have adequate test cases, you can write and refactor code with confidence because any modifications must pass the tests.

2. Write maintainable test cases

It is very important to write test cases with low maintenance cost, because test cases are also code and may also go wrong or need maintenance. You can use the assertion methods provided in the testing framework to write short test cases, which makes the test cases easier to maintain.

For example, use the assert.Equal method provided by the testing framework to compare the expected and actual values:

func TestAdd(t *testing.T) {
    got := add(2, 3)
    expected := 5
    assert.Equal(t, expected, got)
}
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3. Follow the single responsibility principle

When writing unit tests and implementation When coding, you should follow the single responsibility principle. This means that each function and method should only perform one task. If a function or method requires too many operations, it will be difficult to test using unit tests.

By breaking your code into smaller functions and methods, you can test it more easily. This also helps ensure that the code is easier to understand and maintain.

4. Create a test environment

The test environment refers to all the configurations required to run the unit code that needs to be tested. This may include initializing a database connection, setting environment variables, or connecting to a third-party service.

Make sure that the test environment is as similar to the production environment as possible. This can ensure that the test results are more reliable and reduce the risk of errors. In order to ensure that the test environment is clean, the test environment can be cleared entirely after the test case is executed.

5. Use code coverage tools

Using code coverage tools can help you understand which code has been tested and which code still needs to be tested.

In Golang, you can use the -cover option of the go test command to display code coverage:

go test -cover ./...
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This command will display the coverage summary and the coverage percentage of each Go file.

6. Automated Testing

Automated testing is the core of test-driven development because it can make the testing process more efficient and automatically run tests every time the code changes. Tests can be run automatically during development using tools such as Travis CI or Jenkins.

Summary:

In Golang development, test-driven development and unit testing are crucial to code quality and stability. Following these few tips can help you write low-maintenance, reliable test cases and quickly detect bugs when your code changes.

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