Why Postman supports non-functional testing - Test Execution Impact

Test Overview

This test checks if Postman can perform non-functional testing by measuring response time and validating server performance under load.

Test Code - Python requests with assertions (simulating Postman test)

Postman

import requests
import time

def test_response_time():
    url = "https://api.example.com/data"
    start_time = time.time()
    response = requests.get(url)
    end_time = time.time()
    response_time = end_time - start_time
    assert response.status_code == 200, f"Expected status 200 but got {response.status_code}"
    assert response_time < 0.5, f"Response time too high: {response_time}s"

if __name__ == "__main__":
    test_response_time()

Execution Trace - 5 Steps

Step	Action	System State	Assertion	Result
1	Test starts	Test environment ready, network available	-	PASS
2	Send GET request to https://api.example.com/data	Request sent, waiting for response	-	PASS
3	Receive response with status code 200	Response received with data payload	Check if status code == 200	PASS
4	Measure response time	Response time calculated as 0.3 seconds	Verify response time < 0.5 seconds	PASS
5	Test ends with all assertions passed	Test completed successfully	-	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 API response?

A Only response content correctness

B Response status code and response time

C Database connection status

D User interface layout

Key Result

Non-functional testing in Postman includes checking API performance metrics like response time, which helps ensure the API meets speed and reliability expectations.