Best practices for organizing test code and test data

Best practices for organizing test code and test data

Organize test code and data to improve readability and maintainability. Use clear naming conventions, modular structure and separate configuration files.

Examples

// Example 1: Clear naming conventions
public class UserLoginTest {
    @Test
    public void testValidLogin() {
        // Test code here
    }

    @Test
    public void testInvalidLogin() {
        // Test code here
    }
}

// Example 2: Modular test structure
public class LoginTests {
    // Reusable login methods
    public void login(String username, String password) {
        // Login code
    }
}

public class UserTests {
    @Test
    public void testUserCreation() {
        // Test code here
    }

    @Test
    public void testUserDeletion() {
        // Test code here
    }
}

// Example 3: Separate test data
// data/users.csv
// username,password
// user1,pass1
// user2,pass2

@Test
public void testLoginWithCSVData() throws IOException {
    List<String[]> users = readCSV("data/users.csv");
    for (String[] user : users) {
        login(user[0], user[1]);
        // Validate login
    }
}

private List<String[]> readCSV(String filePath) {
    List<String[]> data = new ArrayList<>();
    // Read CSV logic here
    return data;
}

FAQ (interview questions and answers)

1. Why use clear naming conventions in test code?
   For readability
   To make tests longer
   To hide test purpose
   
2. What is a benefit of modular test structure?
   Increased complexity
   Slower execution
   Reusable code
   
3. How does separating test data help?
   Increases data redundancy
   Makes tests hard to maintain
   Simplifies test maintenance
   
4. What is a CSV file used for in tests?
   Storing test data
   Logging errors
   Tracking test execution
   
5. Why is test code maintainability important?
   To increase test coverage
   To have the test code run for long term
   To decrease development time
   

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