Visual Record & Playback With Smart Element Recognition
Modern tools now use AI to identify elements more reliably than traditional selectors. For example:
Python
# Traditional explicit selector approach button = driver.find_element(By.XPATH, "//button[@id='submit-btn' or contains(@class, 'submit')]") # Modern low-code equivalent (automatically generates multiple fallback strategies) Click("Submit") # The tool automatically tries: # - Text content matching # - Partial class matching # - Visual recognition # - Nearby element context # - Element hierarchy
Natural Language Test Cases
Tools like Cucumber have evolved to support more intuitive test writing:
Gherkin
# Modern BDD test scenario Feature: User Authentication Scenario: Successful login Given I am on the login page When I enter "test@example.com" into the email field And I enter "password123" into the password field And I click the "Sign In" button Then I should see the dashboard And I should see "Welcome back" message # The low-code platform automatically generates the underlying code: async function loginTest() { await page.navigate('login'); await page.fill('[data-test="email"]', 'test@example.com'); await page.fill('[data-test="password"]', 'password123'); await page.click('button:has-text("Sign In")'); await expect(page).toHaveURL(/.*dashboard/); await expect(page.locator('.welcome-message')).toContainText('Welcome back'); }
Smart Test Maintenance
Modern platforms include self-healing capabilities:
Javascript
// Configuration for smart element detection { "elementDetection": { "primary": "id", "fallback": ["css", "xpath", "text"], "smartLocatorStrategy": { "enabled": true, "maxAttempts": 3, "timeout": 10000, "healingReport": true } } } // The platform automatically maintains tests when UI changes: await click("Login") // If the button changes, the tool tries: // 1. Original selector // 2. Similar elements nearby // 3. Elements with similar text // 4. Elements in similar position
Cross-Platform Test Reuse
Modern low-code platforms allow the same test to run across different platforms:
YAML
# Test configuration test: name: "Login Flow" platforms: - web: browsers: ["chrome", "firefox", "safari"] - mobile: devices: ["ios", "android"] - desktop: apps: ["windows", "mac"] actions: - input: field: "username" value: "{test.data.username}" - input: field: "password" value: "{test.data.password}" - click: element: "login" - verify: element: "dashboard" state: "visible"
Built-in API Integration Testing
Modern low-code platforms seamlessly combine UI and API testing:
Python
# Mixed UI and API test flow test_flow = { "steps": [ # UI Step {"action": "click", "element": "create_account"}, # API Validation {"action": "api_check", "endpoint": "/api/user", "method": "GET", "validate": { "status": 200, "response.username": "${created_username}" }}, # Continue UI Flow {"action": "verify", "element": "welcome_message"} ] }
Intelligent Test Data Management:
Javascript
// Modern data-driven test configuration { "testData": { "source": "dynamic", "generator": { "type": "smart", "rules": { "email": "valid_email", "phone": "valid_phone", "address": "valid_address" }, "relationships": { "shipping_zip": "match_billing_country" } } } }
The key advantage of modern low-code platforms is that they handle all this complexity behind a visual interface while still allowing testers to customize the underlying code when needed.
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