Performance test planning in Testing Fundamentals - Test Execution Trace

Test Overview

This test plans a performance test to check if a website can handle 100 users loading the homepage simultaneously within 5 seconds.

Test Code - unittest

Testing Fundamentals

import unittest
from performance_testing_tool import PerformanceTester

class TestHomepagePerformance(unittest.TestCase):
    def test_homepage_load_under_5_seconds(self):
        tester = PerformanceTester(url="https://example.com/homepage")
        tester.set_user_load(100)
        tester.set_max_response_time(5)  # seconds
        result = tester.run_test()
        self.assertTrue(result.passed, f"Performance test failed: {result.details}")

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

Execution Trace - 6 Steps

Step	Action	System State	Assertion	Result
1	Test starts	Test framework initializes the test case for homepage performance	—	PASS
2	PerformanceTester instance created with URL https://example.com/homepage	Performance test setup ready with target URL	—	PASS
3	Set user load to 100 simultaneous users	Test configured to simulate 100 users	—	PASS
4	Set maximum acceptable response time to 5 seconds	Performance threshold defined	—	PASS
5	Run performance test	Simulated 100 users load the homepage concurrently	Check if all responses are within 5 seconds	PASS
6	Assert test result passed	Test result received from performance tool	Assert that result.passed is True	PASS

Failure Scenario

Failing Condition: The homepage response time exceeds 5 seconds under 100 user load

Execution Trace Quiz - 3 Questions

What does the test verify in this performance test plan?

A Homepage content is correct

B Homepage layout is responsive

C Homepage loads within 5 seconds for 100 users

D Homepage links are clickable

Key Result

Always define clear performance goals like user load and max response time before running tests to measure system capacity effectively.

Practice

1. What is the main purpose of performance test planning in software testing?

easy

A. To organize how to check software speed and stability

B. To write code for new software features

C. To design the user interface of the software

D. To fix bugs found during testing

Solution

1. Step 1: Understand the goal of performance test planning

   Performance test planning focuses on preparing tests that measure how fast and stable software is under load.

2. Step 2: Compare options with this goal

   Only To organize how to check software speed and stability matches this goal; others relate to development or bug fixing, not planning performance tests.

3. Final Answer:

   To organize how to check software speed and stability -> Option A

4. Quick Check:

   Performance test planning = Organize speed and stability checks [OK]

Hint: Performance planning = organizing speed and stability tests [OK]

Common Mistakes:

• Confusing performance planning with coding or UI design
• Thinking bug fixing is part of test planning
• Mixing test planning with test execution

2. Which of the following is a correct step in performance test planning?

easy

A. Ignoring user load expectations

B. Avoiding setting performance goals

C. Choosing appropriate testing tools

D. Skipping test scheduling

Solution

1. Step 1: Identify key steps in performance test planning

   Good planning includes setting goals, choosing tools, and scheduling tests.

2. Step 2: Evaluate each option

   Only choosing appropriate testing tools is a correct and necessary step; others are mistakes.

3. Final Answer:

   Choosing appropriate testing tools -> Option C

4. Quick Check:

   Performance planning step = Choose tools [OK]

Hint: Pick the step that supports testing, not ignores it [OK]

Common Mistakes:

• Ignoring user load expectations
• Skipping scheduling of tests
• Not setting clear performance goals

3. Consider this simplified performance test plan snippet:

test_plan = {
  "goals": ["Check response time under 2s"],
  "tools": ["LoadRunner"],
  "schedule": "Weekly"
}
print(test_plan["goals"][0])

What will be the output when this code runs?

medium

A. "LoadRunner"

B. "Weekly"

C. KeyError

D. "Check response time under 2s"

Solution

1. Step 1: Understand the dictionary structure

   test_plan has keys 'goals', 'tools', and 'schedule'. 'goals' is a list with one string: "Check response time under 2s".

2. Step 2: Analyze the print statement

   print(test_plan["goals"][0]) accesses the first item in the 'goals' list, which is "Check response time under 2s".

3. Final Answer:

   "Check response time under 2s" -> Option D

4. Quick Check:

   Access first goal string = "Check response time under 2s" [OK]

Hint: Access list inside dict by key then index [OK]

Common Mistakes:

• Confusing keys and values in dictionary
• Trying to print the whole list instead of first item
• Expecting a KeyError due to wrong key

4. A tester wrote this performance test plan code:

test_plan = {
  "goals": "Check response time",
  "tools": ["JMeter"],
  "schedule": "Daily"
}
print(test_plan["goals"][0])

What is the error in this code?

medium

A. Using a string instead of a list for 'goals' causes an error

B. Missing comma after 'tools' list

C. Incorrect key name 'goals' in dictionary

D. Print statement syntax is wrong

Solution

1. Step 1: Check the data type of 'goals'

   'goals' is a string, but the code tries to access it like a list with [0]. Strings support indexing, but here it prints the first character, which may be unintended.

2. Step 2: Understand the intention and error

   The plan expects 'goals' to be a list of goals, not a single string. Accessing [0] on a string returns 'C', not the full goal. This is a logical error in planning structure.

3. Final Answer:

   Using a string instead of a list for 'goals' causes an error -> Option A

4. Quick Check:

   'goals' should be list, not string [OK]

Hint: Lists need brackets [] for multiple goals [OK]

Common Mistakes:

• Treating string as list of goals
• Ignoring data types in test plan
• Assuming print syntax error instead of data error

5. You are planning a performance test for a web app expecting 1000 users simultaneously. Which of the following is a correct action to include in your plan to ensure effective testing?

A. Set clear performance goals like max response time
B. Skip tool selection to save time
C. Schedule tests during peak user hours
D. Ignore analyzing test results after execution

hard

A. Skip tool selection to save time

B. Set clear performance goals like max response time

C. Schedule tests during peak user hours

D. Ignore analyzing test results after execution

Solution

1. Step 1: Identify important planning actions for performance tests

   Setting clear performance goals (e.g., max response time under 1000 user load) is essential to measure success.

2. Step 2: Evaluate each option

   Only A is a correct action; B skips necessary tools, C risks production disruption during real peak usage (simulate in staging), D skips vital analysis.

3. Final Answer:

   Set clear performance goals like max response time -> Option B

4. Quick Check:

   Clear goals = effective performance test plan [OK]

Hint: Set clear goals for success [OK]

Common Mistakes:

• Skipping tool selection reduces test accuracy
• Ignoring results wastes test effort
• Not simulating real user load