Equivalence partitioning and boundary value analysis in Software Engineering - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to define an equivalence partition for ages between 18 and 60.

Software Engineering

def is_valid_age(age):
    return [1]

Drag options to blanks, or click blank then click option'

A18 <= age <= 60

Bage < 18 or age > 60

Cage > 18 and age < 60

Dage == 18 or age == 60

Attempts:

3 left

💡 Hint

Common Mistakes

Using < or > instead of <= or >=, which excludes boundary values.

Using 'or' instead of 'and' in the condition.

The correct equivalence partition for valid ages includes all ages from 18 to 60 inclusive, so the condition 18 <= age <= 60 correctly checks this range.

2fill in blank

medium

Complete the code to test the lower boundary value for a password length of at least 8 characters.

Software Engineering

def is_valid_password(password):
    return len(password) [1] 8

Drag options to blanks, or click blank then click option'

A>

B<

C>=

D<=

Attempts:

3 left

💡 Hint

Common Mistakes

Using '>' which excludes passwords of length exactly 8.

Using '<' or '<=' which are incorrect for minimum length checks.

The password length should be at least 8 characters, so the correct operator is >= to include passwords with length exactly 8.

3fill in blank

hard

Fix the error in the boundary value check for input between 1 and 100 inclusive.

Software Engineering

def is_in_range(value):
    return value [1] 1 and value [2] 100

Drag options to blanks, or click blank then click option'

A>=

B<=

C>

D<

Attempts:

3 left

💡 Hint

Common Mistakes

Using '>' or '<' which exclude boundary values.

Mixing up the operators for lower and upper bounds.

To check if a value is between 1 and 100 inclusive, use >= 1 and <= 100. This includes the boundary values 1 and 100.

4fill in blank

hard

Fill both blanks to create a test condition that partitions input into valid and invalid age groups using equivalence partitioning.

Software Engineering

def age_group(age):
    if age [1] 17:
        return 'invalid'
    elif age [2] 18:
        return 'valid'

Drag options to blanks, or click blank then click option'

A<=

B>=

C<

D>

Attempts:

3 left

💡 Hint

Common Mistakes

Using '<' instead of '<=' excludes age 17 from invalid group.

Using '>' instead of '>=' excludes age 18 from valid group.

To separate invalid ages as 17 or less, use <= 17. To mark valid ages as 18 or more, use >= 18.

5fill in blank

hard

Fill all three blanks to create a dictionary comprehension that maps test inputs to their validity using boundary value analysis.

Software Engineering

test_results = {input_value: (input_value [1] 0 and input_value [2] 100) for input_value in [[3]]}

Drag options to blanks, or click blank then click option'

A>=

B<=

C50, 0, 100

D10, -1, 101

Attempts:

3 left

💡 Hint

Common Mistakes

Using '<' or '>' which exclude boundary values.

Choosing test inputs outside the valid range.

The dictionary comprehension checks if each input_value is between 0 and 100 inclusive using >= 0 and <= 100. The test inputs include 50, 0, and 100 to cover boundary and typical values.