presonus-studiolive-mcp: Instructions file for GitHub Copilot

Test Traceability Requirements

Standards: IEEE 1012-2016 (Verification & Validation), ISO/IEC/IEEE 29148:2018 (Requirements Traceability)

Every Test MUST:

1. Link to Requirement Issue

Include explicit reference to the GitHub issue being verified:

"""
Test user login functionality.

Verifies: #123 (REQ-F-AUTH-001: User Login)
Test Type: Integration
Priority: P0 (Critical)

Acceptance Criteria (from #123):
  Given user has valid credentials
  When user submits login form
  Then user is authenticated and redirected to dashboard
"""
def test_user_login_success():
    # Arrange
    user = create_test_user(email="[email protected]", password="secure123")
    
    # Act
    response = login(email="[email protected]", password="secure123")
    
    # Assert
    assert response.status_code == 200
    assert response.user.is_authenticated == True
    assert response.redirect_url == "/dashboard"

describe('User Login (Verifies #123)', () => {
  /**
   * Verifies: REQ-F-AUTH-001 (Issue #123)
   * Acceptance Criteria: User can log in with valid credentials
   * Test Type: Integration
   * Priority: P0
   */
  it('should authenticate user with valid credentials', async () => {
    // Arrange
    const user = await createTestUser({
      email: '[email protected]',
      password: 'secure123'
    });
    
    // Act
    const response = await login('[email protected]', 'secure123');
    
    // Assert
    expect(response.status).toBe(200);
    expect(response.user.isAuthenticated).toBe(true);
    expect(response.redirectUrl).toBe('/dashboard');
  });
});

2. Test Acceptance Criteria

Each test should map to specific acceptance criteria from the requirement issue:

• Copy Given/When/Then scenarios from issue
• Test each scenario separately
• Cover positive and negative cases
• Test boundary conditions
• Test error handling specified in requirement

3. Include Test Metadata

Provide context for test purpose and priority:

# Verifies: #145 (REQ-NF-PERF-002: API Response Time)
# Test Type: Performance
# Priority: P1 (High)
# Threshold: Response time < 200ms for 95th percentile

@pytest.mark.performance
def test_api_response_time():
    """Verify API responds within 200ms for 95% of requests."""
    response_times = []
    
    for _ in range(100):
        start = time.time()
        response = api_client.get('/api/users')
        end = time.time()
        response_times.append((end - start) * 1000)
    
    p95 = np.percentile(response_times, 95)
    assert p95 < 200, f"95th percentile: {p95}ms exceeds 200ms threshold"