Condition coverage in Testing Fundamentals - Practice Problems & Coding Challenges

Challenge - 5 Problems

🧠 Conceptual

intermediate

Understanding Condition Coverage

Which statement best describes condition coverage in software testing?

A It requires each individual condition in a decision to be evaluated to both true and false at least once.

B It tests only the overall decision outcome without checking individual conditions.

C It ensures every possible combination of conditions in a decision is tested.

D It focuses on testing the program's performance under different load conditions.

💡 Hint

Think about testing each part of a decision separately.

Condition coverage means each condition in a decision must be true and false at least once, regardless of the overall decision outcome.

❓ Predict Output

intermediate

Condition Coverage Test Outcome

Consider the following code snippet:

def check_values(a, b):
    if a > 0 and b > 0:
        return "Both positive"
    else:
        return "Not both positive"

If tests run with inputs (1, 1) and (1, -1), what is the condition coverage achieved?

A Neither condition evaluated false.

B Both conditions (a > 0 and b > 0) evaluated true and false at least once each.

C Only the overall decision evaluated true and false; individual conditions not fully tested.

D Only the second condition (b > 0) evaluated true and false; first condition (a > 0) only true.

💡 Hint

Check the values of a and b in each test case.

In (1,1), both conditions are true. In (1,-1), a > 0 is true but b > 0 is false. So a > 0 is true both times, never false.

❓ assertion

advanced

Writing Assertions for Condition Coverage

Given the function below, which assertion set best helps achieve condition coverage for the decision?

def is_eligible(age, income):
    if age >= 18 and income > 20000:
        return True
    else:
        return False

A assert is_eligible(20, 25000) == True and assert is_eligible(17, 25000) == False

B assert is_eligible(17, 25000) == False and assert is_eligible(20, 25000) == True

C assert is_eligible(20, 25000) == True and assert is_eligible(17, 15000) == False

D assert is_eligible(20, 15000) == False and assert is_eligible(17, 15000) == False

💡 Hint

Each condition must be true and false at least once.

Option C tests age >= 18 true and false, income > 20000 true once and false once, covering both conditions true and false.

🔧 Debug

advanced

Debugging Condition Coverage in Test Cases

Test cases for the function below achieve full condition coverage. Which statement best describes the coverage?

def check_access(user_role, is_active):
    if user_role == "admin" or is_active:
        return "Access granted"
    else:
        return "Access denied"

# Test cases:
# 1. ("admin", True)
# 2. ("user", True)
# 3. ("admin", False)

A The test cases never evaluate user_role as "user" when is_active is false.

B The test cases never evaluate is_active as false when user_role is not admin.

C The test cases do not test user_role as "admin" with is_active true.

D The test cases cover all conditions fully.

💡 Hint

Check if each condition is true and false at least once.

The test cases evaluate user_role == "admin" true (1,3) and false (2), is_active true (1,2) and false (3), achieving full condition coverage.

❓ framework

expert

Implementing Condition Coverage in Automated Tests

Which test framework feature best supports measuring condition coverage automatically during test runs?

A Condition coverage analyzer that tracks each boolean condition's true and false evaluations.

B Mutation testing tool that modifies code to check test effectiveness.

C Code coverage tool that tracks which lines of code are executed.

D Performance profiler that measures execution time of tests.

💡 Hint

Focus on tools that measure condition evaluation, not just line execution.

Condition coverage analyzers track each condition's true and false evaluations, which is needed to measure condition coverage.