Why white-box testing examines code internals in Testing Fundamentals - Quick Recap

Recall & Review

beginner

What is white-box testing?

White-box testing is a method where testers look inside the code to check how it works, not just what it does.

beginner

Why does white-box testing examine code internals?

It examines code internals to find hidden errors, check logic paths, and ensure all parts of the code work as expected.

beginner

How is white-box testing different from black-box testing?

White-box testing looks inside the code; black-box testing only checks if the software works without seeing the code.

beginner

Name one real-life example to understand white-box testing.

Like checking the engine parts inside a car to make sure each part works well, white-box testing checks inside the software code.

intermediate

What can white-box testing help prevent?

It helps prevent bugs hidden deep in the code that might not show up in normal use but cause problems later.

What does white-box testing focus on?

A Only the user interface

B The internal structure and logic of the code

C Performance under heavy load

D User experience feedback

White-box testing looks inside the code to check its structure and logic.

Which of these is a key reason for examining code internals in white-box testing?

A To gather user opinions

B To test the software without seeing the code

C To verify the code follows design specifications

D To check the color scheme of the app

White-box testing verifies that the code matches design and works correctly inside.

White-box testing is like:

A Painting the car a new color

B Driving a car to see if it moves

C Asking a driver if the car is comfortable

D Looking inside a car engine to check parts

It involves inspecting the internal parts, like checking code inside software.

Which testing type does NOT examine code internals?

A Black-box testing

B White-box testing

C Unit testing

D Code coverage testing

Black-box testing tests software without looking at the code.

What can white-box testing help find?

A Hidden bugs inside the code

B User interface colors

C Marketing strategies

D Customer satisfaction

It helps find bugs that are hidden deep in the code logic.

Explain why white-box testing requires access to the code internals.

Think about how looking inside helps find problems not visible from outside.

Describe the difference between white-box and black-box testing in simple terms.

Compare it to checking inside a car engine versus just driving the car.

Practice

1. Why does white-box testing focus on examining the internal code of a program?

easy

A. To verify the program's performance under load

B. To check the program's user interface for usability

C. To test the program without knowing its internal workings

D. To understand the program's structure and test specific code paths

Solution

1. Step 1: Understand white-box testing purpose

   White-box testing involves looking inside the code to test its logic and paths.

2. Step 2: Compare options with testing goals

   Only To understand the program's structure and test specific code paths matches the goal of testing internal code structure and paths.

3. Final Answer:

   To understand the program's structure and test specific code paths -> Option D

4. Quick Check:

   White-box tests code internals = D [OK]

Hint: White-box tests code internals, not UI or performance [OK]

Common Mistakes:

• Confusing white-box with black-box testing
• Thinking white-box tests UI or performance
• Ignoring the code structure in white-box testing

2. Which of the following is the correct syntax to write a white-box test case in Python using the unittest framework?

easy

A. class TestFunction(unittest.TestCase):
def test_case(self):
self.assertEqual(function_to_test(), expected_value)

B. def test_function():
assert function_to_test() == expected_value

C. function test_function() {
expect(function_to_test()).toBe(expected_value);
}

D.
function_to_test() == expected_value

Solution

1. Step 1: Identify Python unittest syntax

   Python unittest requires a class inheriting unittest.TestCase and methods starting with test_.

2. Step 2: Match options to unittest style

   class TestFunction(unittest.TestCase): def test_case(self): self.assertEqual(function_to_test(), expected_value) correctly defines a test class and method using self.assertEqual.

3. Final Answer:

   class TestFunction(unittest.TestCase): def test_case(self): self.assertEqual(function_to_test(), expected_value) -> Option A

4. Quick Check:

   Python unittest uses classes and assertEqual [OK]

Hint: Python unittest tests use classes and assertEqual method [OK]

Common Mistakes:

• Using plain functions without unittest class
• Confusing JavaScript or XML syntax with Python
• Missing self parameter in test methods

3. Consider this Python function and its white-box test case:

def is_even(n):
    if n % 2 == 0:
        return True
    else:
        return False

# Test case
assert is_even(3) == False
assert is_even(4) == True

What is the result of running this test case?

medium

A. First assertion fails, second passes

B. Both assertions fail

C. Both assertions pass, test succeeds

D. Syntax error in test case

Solution

1. Step 1: Evaluate is_even(3)

   3 % 2 is 1, so function returns False, matching assert is_even(3) == False.

2. Step 2: Evaluate is_even(4)

   4 % 2 is 0, so function returns True, matching assert is_even(4) == True.

3. Final Answer:

   Both assertions pass, test succeeds -> Option C

4. Quick Check:

   3 odd = False, 4 even = True [OK]

Hint: Check function output matches assertion values exactly [OK]

Common Mistakes:

• Assuming 3 is even
• Confusing modulus operator result
• Thinking assert causes syntax error

4. A white-box test case for a function has this code:

def calculate_discount(price):
    if price > 100:
        return price * 0.9
    else:
        return price * 0.95

# Test
assert calculate_discount(100) == 90

What is the problem with this test?

medium

A. The test expects wrong discount for price 100

B. The function has a syntax error

C. The test should use assertEqual instead of assert

D. The function does not handle negative prices

Solution

1. Step 1: Analyze function logic for price 100

   Price 100 is not greater than 100, so else branch applies: 100 * 0.95 = 95.

2. Step 2: Compare test assertion value

   Test expects 90, but function returns 95, so assertion fails.

3. Final Answer:

   The test expects wrong discount for price 100 -> Option A

4. Quick Check:

   Price 100 gets 5% discount, test expects 10% [OK]

Hint: Check boundary conditions carefully in tests [OK]

Common Mistakes:

• Assuming price 100 triggers > 100 condition
• Thinking assert is invalid in Python
• Ignoring else branch logic

5. You want to write white-box tests to cover all branches of this function:

def classify_number(x):
    if x > 0:
        if x % 2 == 0:
            return 'Positive even'
        else:
            return 'Positive odd'
    elif x < 0:
        return 'Negative'
    else:
        return 'Zero'

Which set of test inputs covers all branches?

hard

A. [2, 4, 6]

B. [1, 2, 0, -1]

C. [0, -5]

D. [-1, 0, 1]

Solution

1. Step 1: Identify branches to cover

   Branches: x > 0 with even and odd, x < 0, and x == 0.

2. Step 2: Check test inputs for coverage

   Input 1 covers positive odd, 2 covers positive even, 0 covers zero, -1 covers negative.

3. Final Answer:

   [1, 2, 0, -1] -> Option B

4. Quick Check:

   All branches tested by these inputs [OK]

Hint: Test positive even, positive odd, zero, and negative separately [OK]

Common Mistakes:

• Missing positive odd or even cases
• Not testing zero case
• Assuming fewer inputs cover all branches