Defect prevention strategies in Testing Fundamentals - Test Execution Trace

Test Overview

This test simulates checking if defect prevention strategies are correctly applied during software development. It verifies that code reviews and static analysis tools are triggered and that defects are caught early before testing.

Test Code - PyTest

Testing Fundamentals

def test_defect_prevention_workflow():
    # Simulate code submission
    code_submitted = True
    # Simulate code review process
    code_review_done = code_submitted and True
    # Simulate static analysis tool run
    static_analysis_passed = code_review_done and True
    # Simulate defect detection
    defects_found = not static_analysis_passed
    # Assert no defects found before testing phase
    assert defects_found == False, "Defects found before testing phase"
    # Simulate testing phase
    testing_done = True
    # Final assertion to ensure defect prevention worked
    assert testing_done == True, "Testing phase not completed"

Execution Trace - 7 Steps

Step	Action	System State	Assertion	Result
1	Test starts	Test environment initialized, no code submitted yet	-	PASS
2	Simulate code submission	Code is submitted for review	-	PASS
3	Simulate code review process	Code review completed successfully	code_review_done is True	PASS
4	Run static analysis tool	Static analysis passed with no issues	static_analysis_passed is True	PASS
5	Check for defects before testing	No defects found in code before testing phase	defects_found == False	PASS
6	Simulate testing phase	Testing phase completed	testing_done == True	PASS
7	Test ends	All defect prevention steps verified successfully	-	PASS

Failure Scenario

Failing Condition: Static analysis tool fails to pass, indicating defects present before testing

Execution Trace Quiz - 3 Questions

What does the test verify about defect prevention?

A That code is deployed without review

B That defects are caught before the testing phase

C That testing phase is skipped

D That defects are ignored

Key Result

Early defect detection through code reviews and static analysis prevents costly bugs later in testing or production.