Condition coverage in Testing Fundamentals - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is Condition Coverage in software testing?

Condition Coverage measures whether each individual condition in a decision has been tested with both true and false outcomes at least once.

beginner

Why is Condition Coverage important?

It helps find errors in complex decisions by ensuring every condition is tested independently, improving test thoroughness.

intermediate

How does Condition Coverage differ from Decision Coverage?

Decision Coverage checks if each decision (like an if statement) is true or false, while Condition Coverage checks each part inside the decision separately.

intermediate

Example: For the decision if (A && B), what must tests cover for full Condition Coverage?

Tests must make A true and false, and B true and false, regardless of the overall decision outcome.

beginner

Can Condition Coverage guarantee all bugs are found?

No, it improves testing but does not guarantee all bugs are found because it tests conditions independently, not all combinations.

What does Condition Coverage ensure in testing?

A Each condition in a decision is tested as true and false

B Each decision is tested as true and false

C All possible combinations of conditions are tested

D Only the true outcomes of conditions are tested

Condition Coverage requires each condition to be tested with both true and false values.

Which of the following is an example of a condition in if (X || Y)?

A X || Y

B X

C if statement

D Y && X

X and Y are single conditions inside the decision.

Condition Coverage is a type of:

A Performance testing

B Functional testing

C Usability testing

D Structural testing

Condition Coverage is structural because it tests the code's internal logic.

If a decision has two conditions, how many condition outcomes must be tested for full Condition Coverage?

A 4

B 2

C 1

D 3

Each condition must be tested true and false, so 2 conditions × 2 outcomes = 4.

Which coverage type tests all possible combinations of conditions?

A Condition Coverage

B Decision Coverage

C Multiple Condition Coverage

D Statement Coverage

Multiple Condition Coverage tests all combinations of condition outcomes.

Explain what Condition Coverage is and why it is useful in software testing.

Think about testing each part inside an if statement separately.

Describe the difference between Condition Coverage and Decision Coverage with an example.

Focus on testing individual conditions vs whole decisions.

Practice

1. What does condition coverage ensure in software testing?

easy

A. All possible input values are tested

B. Only the overall decision outcome is tested once

C. Each part of a decision is tested for both true and false outcomes

D. Only syntax errors are detected

Solution

1. Step 1: Understand condition coverage definition

   Condition coverage requires testing each atomic condition in a decision for both true and false values.

2. Step 2: Compare options with definition

   Each part of a decision is tested for both true and false outcomes matches this definition exactly, while others describe different testing scopes.

3. Final Answer:

   Each part of a decision is tested for both true and false outcomes -> Option C

4. Quick Check:

   Condition coverage = test each condition true/false [OK]

Hint: Test each condition true and false separately [OK]

Common Mistakes:

• Confusing condition coverage with decision coverage
• Thinking only overall decision outcome matters
• Assuming all inputs must be tested

2. Which of the following is the correct syntax to represent a condition in a test case for condition coverage?

easy

A. if a and b then ...

B. if a && b { ... }

C. if (a & b) { ... }

D. if (a && b) { ... }

Solution

1. Step 1: Identify correct syntax for logical AND in common languages

   In languages like JavaScript, Java, and C, logical AND is written as && inside parentheses.

2. Step 2: Evaluate each option

   if (a && b) { ... } uses correct syntax with parentheses and &&. if a and b then ... uses incorrect syntax (no parentheses, wrong keywords). if (a & b) { ... } uses bitwise AND &, not logical AND. if a && b { ... } misses parentheses.

3. Final Answer:

   if (a && b) { ... } -> Option D

4. Quick Check:

   Logical AND syntax = && with parentheses [OK]

Hint: Use parentheses and && for logical AND [OK]

Common Mistakes:

• Using single & instead of && for logical AND
• Omitting parentheses around conditions
• Using incorrect keywords like 'then'

3. Consider the decision: if (x > 0 && y == 5). Which test inputs achieve full condition coverage?

medium

A. x=1, y=5 and x=-1, y=4

B. x=1, y=5 and x=1, y=4

C. x=0, y=5 and x=1, y=5

D. x=1, y=5 and x=-1, y=5

Solution

1. Step 1: Identify conditions and their true/false values

   Conditions: (x > 0) and (y == 5). To cover both true and false for each, we need inputs where x > 0 is true and false, and y == 5 is true and false.

2. Step 2: Check each option for condition coverage

   x=1, y=5 and x=-1, y=4: x=1,y=5 (x>0 true, y==5 true), x=-1,y=4 (x>0 false, y==5 false) covers all true/false for both conditions. Others miss some false cases.

3. Final Answer:

   x=1, y=5 and x=-1, y=4 -> Option A

4. Quick Check:

   Test each condition true and false separately [OK]

Hint: Test each condition true and false independently [OK]

Common Mistakes:

• Testing only overall decision true/false
• Missing false case for one condition
• Assuming one test covers all conditions

4. Given the code snippet:

if (a || b) {
  // do something
}

Which test set achieves condition coverage?

medium

A. a=true, b=false and a=false, b=true

B. a=true, b=false and a=false, b=false

C. a=true, b=true only

D. a=false, b=false only

Solution

1. Step 1: Understand condition coverage for OR operator

   For a || b, condition coverage requires testing a and b each as true and false separately.

2. Step 2: Evaluate test sets

   a=true, b=false and a=false, b=true tests a=true,b=false (a true, b false) and a=false,b=true (a false, b true), covering both true and false for each condition. Others miss some cases.

3. Final Answer:

   a=true, b=false and a=false, b=true -> Option A

4. Quick Check:

   Test each condition true and false separately [OK]

Hint: Test each condition true and false separately for OR [OK]

Common Mistakes:

• Confusing with decision coverage
• Assuming one test covers both conditions
• Ignoring condition coverage for OR

5. You have the decision: if ((p && q) || r). Which minimal test set achieves full condition coverage?

hard

A. p=true, q=true, r=false; p=false, q=true, r=false; p=false, q=false, r=false

B. p=true, q=false, r=false; p=false, q=true, r=false; p=false, q=false, r=true

C. p=true, q=true, r=false; p=false, q=false, r=false

D. p=true, q=false, r=true; p=false, q=false, r=false

Solution

1. Step 1: Identify atomic conditions and their true/false needs

   Conditions: p, q, r. Condition coverage requires each to be true and false at least once.

2. Step 2: Check each test set for coverage

   p=true, q=false, r=false; p=false, q=true, r=false; p=false, q=false, r=true tests p=true,q=false,r=false (p true, q false, r false), p=false,q=true,r=false (p false, q true, r false), and p=false,q=false,r=true (p false, q false, r true). This covers true and false for all conditions minimally.

3. Final Answer:

   p=true, q=false, r=false; p=false, q=true, r=false; p=false, q=false, r=true -> Option B

4. Quick Check:

   Each condition true and false tested once [OK]

Hint: Test each condition true and false once in minimal sets [OK]

Common Mistakes:

• Missing false case for one condition
• Testing only overall decision outcomes
• Using redundant tests beyond minimal coverage