Performance testing tools overview in Testing Fundamentals - Test Execution Trace

Test Overview

This test simulates a simple performance test scenario using a tool like Apache JMeter. It verifies that the tool can send a request to a web server and measure the response time correctly.

Test Code - unittest

Testing Fundamentals

import unittest
import time
import requests

class PerformanceTest(unittest.TestCase):
    def test_response_time_under_limit(self):
        url = "https://example.com"
        max_response_time = 0.5  # seconds
        start_time = time.time()
        response = requests.get(url)
        end_time = time.time()
        response_time = end_time - start_time
        self.assertEqual(response.status_code, 200)
        self.assertLessEqual(response_time, max_response_time, f"Response time {response_time} exceeded limit")

if __name__ == '__main__':
    unittest.main()

Execution Trace - 5 Steps

Step	Action	System State	Assertion	Result
1	Test starts	Test runner initializes the PerformanceTest class	-	PASS
2	Sends HTTP GET request to https://example.com	Network connection established, request sent	-	PASS
3	Receives HTTP response	Response received with status code 200 and response body	Check if response.status_code == 200	PASS
4	Measures response time	Response time calculated as end_time - start_time	Check if response_time <= 0.5 seconds	PASS
5	Test ends with all assertions passed	Test report shows success	-	PASS

Failure Scenario

Failing Condition: Response time exceeds 0.5 seconds or status code is not 200

Execution Trace Quiz - 3 Questions

What does the test verify about the HTTP response?

A The response body contains specific text

B The response status code is 200

C The server uses HTTPS

D The request method is POST

Key Result

Always measure and assert response times in performance tests to ensure your application meets speed requirements.