The Protevus Platform follows a comprehensive testing strategy to ensure code quality, reliability, and maintainability. This document outlines the different types of tests employed, testing guidelines, and best practices for contributing to the project.
## Test Types
The Protevus Platform employs the following types of tests:
### Unit Tests
Unit tests are designed to test individual units of code, such as classes, functions, or methods, in isolation. These tests verify the correctness of the code's behavior and functionality for specific inputs and scenarios.
Unit tests should be written for all classes, functions, and components within the Protevus Platform codebase.
### Integration Tests
Integration tests are designed to test the interaction and integration between different components or modules within the Protevus Platform. These tests ensure that the components work correctly when integrated and that the communication and data flow between them is as expected.
Integration tests should be written to cover the integration points between different components or modules.
### End-to-End (E2E) Tests
End-to-End (E2E) tests are designed to simulate real-world scenarios and test the overall functionality of the Protevus Platform from a user's perspective. These tests exercise the entire application stack, including the user interface, business logic, and data layer.
E2E tests should be written to cover critical user flows and scenarios within the Protevus Platform.
## Testing Guidelines
The following guidelines should be followed when writing tests for the Protevus Platform:
### Test Organization
Tests should be organized in a way that mirrors the structure of the codebase. Each test file should correspond to the file or component being tested, and the test file should be located in the same directory as the code it is testing.
### Test Naming Conventions
Test names should be descriptive and follow a consistent naming convention. The recommended naming convention is `test_ClassName_methodName_scenario`. For example:
```dart
test_UserRepository_createUser_validInput() {
// Test code
}
```
### Test Coverage
The Protevus Platform aims to maintain a high level of test coverage. A minimum test coverage percentage should be defined and enforced for the project. Code coverage tools, such as `lcov` or `coveralls`, should be used to measure and report test coverage.
### Test Isolation
Tests should be isolated and independent of each other. Each test should set up its own test environment and clean up after itself, ensuring that tests can be run in any order without affecting each other's results.
### Test Data Management
Test data should be managed carefully to ensure consistent and reliable test results. Test data should be isolated from production data and should be easily reproducible. Consider using test data generators or fixtures to manage test data effectively.
### Continuous Integration (CI)
The Protevus Platform should have a Continuous Integration (CI) pipeline set up to automatically run tests on every code change. The CI pipeline should include steps for running unit tests, integration tests, and E2E tests, as well as code coverage reporting.
## Best Practices
When contributing to the Protevus Platform, follow these best practices for writing and maintaining tests:
1.**Write Tests First**: Follow a Test-Driven Development (TDD) approach by writing tests before implementing the actual code. This approach helps ensure that the code is testable and meets the desired requirements from the beginning.
2.**Keep Tests Maintainable**: Write tests that are easy to understand, maintain, and update. Use descriptive names, clear assertions, and avoid unnecessary complexity.
3.**Test Edge Cases**: In addition to testing the expected behavior, ensure that tests cover edge cases, boundary conditions, and error scenarios.
4.**Refactor Tests**: As the codebase evolves, refactor tests to keep them up-to-date and aligned with the latest changes.
5.**Leverage Testing Frameworks and Tools**: Utilize testing frameworks and tools that are widely adopted and supported within the Dart ecosystem, such as `test` and `mockito`.
6.**Document Test Scenarios**: Document test scenarios, expected behaviors, and any assumptions or dependencies within the test code or in separate documentation.
7.**Collaborate and Review**: Encourage code reviews for tests, just as you would for production code. Collaborate with team members to ensure that tests are comprehensive, maintainable, and aligned with project requirements.
By following this testing strategy, the Protevus Platform aims to maintain a high level of code quality, reliability, and maintainability, while fostering a culture of testing and continuous integration within the project.
