Equivalence partitioning in Testing Fundamentals - Test Execution Trace

Test Overview

This test checks if the input field correctly accepts valid age values using equivalence partitioning. It verifies that the system accepts ages within the valid range and rejects invalid ones.

Test Code - PyTest

Testing Fundamentals

def test_age_input_equivalence_partitioning():
    valid_ages = [18, 30, 65]  # valid partition
    invalid_ages = [17, 0, -5, 100]  # invalid partitions

    for age in valid_ages:
        result = validate_age(age)
        assert result == True, f"Age {age} should be valid"

    for age in invalid_ages:
        result = validate_age(age)
        assert result == False, f"Age {age} should be invalid"

def validate_age(age):
    return 18 <= age <= 65

Execution Trace - 9 Steps

Step	Action	System State	Assertion	Result
1	Test starts	Test environment ready, validate_age function loaded	-	PASS
2	Loop through valid ages: 18, 30, 65	Calling validate_age with age=18	Check if validate_age(18) returns True	PASS
3	Calling validate_age with age=30	Inside validate_age function	Check if validate_age(30) returns True	PASS
4	Calling validate_age with age=65	Inside validate_age function	Check if validate_age(65) returns True	PASS
5	Loop through invalid ages: 17, 0, -5, 100	Calling validate_age with age=17	Check if validate_age(17) returns False	PASS
6	Calling validate_age with age=0	Inside validate_age function	Check if validate_age(0) returns False	PASS
7	Calling validate_age with age=-5	Inside validate_age function	Check if validate_age(-5) returns False	PASS
8	Calling validate_age with age=100	Inside validate_age function	Check if validate_age(100) returns False	PASS
9	Test ends	All assertions passed	-	PASS

Failure Scenario

Failing Condition: validate_age returns True for an invalid age or False for a valid age

Execution Trace Quiz - 3 Questions

What does the test verify for the age value 30?

A That age 30 causes an error

B That age 30 is rejected as invalid

C That age 30 is accepted as valid

D That age 30 is ignored

Key Result

Equivalence partitioning helps reduce test cases by grouping inputs that should behave the same, ensuring efficient and effective testing.