Risk analysis for testing in Testing Fundamentals - Practice Problems & Coding Challenges

Challenge - 5 Problems

🧠 Conceptual

intermediate

Identifying High-Risk Areas

In risk analysis for testing, which factor most directly increases the priority of testing a feature?

A The feature has extensive automated tests already.

B The feature is rarely used and has simple logic.

C The feature was recently added but has no known bugs.

D The feature has a complex design and affects many users.

💡 Hint

Think about what makes a feature more likely to cause problems if it fails.

Features that are complex and impact many users have higher risk and need more testing focus.

❓ Predict Output

intermediate

Output of Risk Score Calculation

What is the output of the following Python code that calculates a risk score?

Testing Fundamentals

def risk_score(probability, impact):
    return probability * impact

score = risk_score(0.7, 8)
print(score)

A 15

B 5.6

C 0.875

D SyntaxError

💡 Hint

Multiply the two numbers given as arguments.

The function multiplies probability (0.7) by impact (8), resulting in 5.6.

❓ assertion

advanced

Validating Risk Priority Order

You have a list of features with risk scores. Which assertion correctly checks that the list is sorted from highest to lowest risk?

Testing Fundamentals

risk_scores = [9.5, 7.2, 5.6, 3.1]

A assert risk_scores == sorted(risk_scores)

B assert all(risk_scores[i] <= risk_scores[i+1] for i in range(len(risk_scores)-1))

C assert all(risk_scores[i] >= risk_scores[i+1] for i in range(len(risk_scores)-1))

D assert risk_scores == sorted(risk_scores, reverse=False)

💡 Hint

Check that each score is greater than or equal to the next.

Option C verifies the list is sorted descending by comparing each element to the next.

🔧 Debug

advanced

Debugging Risk Impact Calculation

Find the error in this code that calculates risk impact but returns wrong results:

Testing Fundamentals

def calculate_impact(severity, frequency):
    impact = severity + frequency
    return impact

result = calculate_impact(5, 3)
print(result)

A The impact should be multiplied, not added, so use severity * frequency.

B The function is missing a return statement.

C The variables severity and frequency are not defined.

D The print statement is outside the function and causes an error.

💡 Hint

Risk impact is usually calculated by multiplying severity and frequency.

Adding severity and frequency underestimates impact; multiplication reflects combined effect better.

❓ framework

expert

Designing a Risk-Based Test Selection Framework

Which approach best fits a risk-based test selection framework to optimize testing effort?

A Select tests that cover features with the highest risk scores first, then proceed to lower risk features.

B Run all tests equally regardless of risk to ensure full coverage.

C Select tests randomly to avoid bias in testing.

D Only test features that have failed before, ignoring new or changed features.

💡 Hint

Focus testing on areas where failure impact and likelihood are highest.

Prioritizing tests by risk ensures critical areas are tested first, optimizing resources and reducing risk.

Practice

1. What is the main purpose of risk analysis in software testing?

easy

A. To write code faster without testing

B. To identify which parts of the software need testing first based on potential problems

C. To create user manuals for the software

D. To design the software's user interface

Solution

1. Step 1: Understand risk analysis goal

   Risk analysis helps testers find which parts of software might cause big problems.

2. Step 2: Connect goal to testing order

   Testing starts with high-risk areas to catch serious issues early.

3. Final Answer:

   To identify which parts of the software need testing first based on potential problems -> Option B

4. Quick Check:

   Risk analysis = prioritize testing by risk [OK]

Hint: Risk analysis = test high-risk parts first [OK]

Common Mistakes:

• Thinking risk analysis is about coding speed
• Confusing risk analysis with documentation
• Believing risk analysis designs UI

2. Which of the following is a correct way to describe risk in testing?

easy

A. Risk is the chance that a feature will be easy to use

B. Risk is how fast the software runs

C. Risk is the likelihood and impact of a problem occurring in the software

D. Risk means the software will never have bugs

Solution

1. Step 1: Define risk in testing context

   Risk means how likely a problem is and how bad its effect would be.

2. Step 2: Match definition to options

   Risk is the likelihood and impact of a problem occurring in the software correctly states risk as likelihood and impact of problems.

3. Final Answer:

   Risk is the likelihood and impact of a problem occurring in the software -> Option C

4. Quick Check:

   Risk = likelihood + impact [OK]

Hint: Risk = chance x impact of problem [OK]

Common Mistakes:

• Confusing risk with software speed
• Thinking risk means no bugs
• Mixing risk with usability

3. Given the following risk scores for features, which feature should be tested first?
Feature A: Impact=5, Likelihood=2
Feature B: Impact=3, Likelihood=4
Feature C: Impact=4, Likelihood=4
Feature D: Impact=2, Likelihood=5

medium

A. Feature C

B. Feature B

C. Feature A

D. Feature D

Solution

1. Step 1: Calculate risk scores

   Multiply impact and likelihood for each feature:
   Feature A: 5x2=10
   Feature B: 3x4=12
   Feature C: 4x4=16
   Feature D: 2x5=10

2. Step 2: Identify highest risk

   Feature C has the highest risk score (16), so test it first.

3. Final Answer:

   Feature C -> Option A

4. Quick Check:

   Highest risk = Feature C (16) [OK]

Hint: Test feature with highest impact x likelihood first [OK]

Common Mistakes:

• Choosing feature with highest impact only
• Choosing feature with highest likelihood only
• Adding instead of multiplying impact and likelihood

4. A tester assigned risk scores as Impact=3 and Likelihood=5 for a feature. Later, they realize the impact should be 5, but they forgot to update the risk score. What is the error in their risk analysis?

medium

A. Incorrect calculation of risk score due to outdated impact value

B. Wrong likelihood value used

C. Risk analysis does not require impact values

D. Risk score should be ignored if updated values are missing

Solution

1. Step 1: Identify the mistake in risk scoring

   The tester used an old impact value (3) instead of the correct one (5).

2. Step 2: Understand effect on risk score

   This causes the risk score to be too low, leading to wrong testing priority.

3. Final Answer:

   Incorrect calculation of risk score due to outdated impact value -> Option A

4. Quick Check:

   Outdated impact causes wrong risk score [OK]

Hint: Always update impact and likelihood before scoring [OK]

Common Mistakes:

• Ignoring impact changes
• Assuming likelihood was wrong
• Thinking risk score can be skipped

5. You have three features with these risk values:
Feature X: Impact=4, Likelihood=3
Feature Y: Impact=5, Likelihood=2
Feature Z: Impact=3, Likelihood=5
If testing time is limited and you can only test two features, which two should you pick to maximize risk coverage?

hard

A. Feature Y and Feature Z

B. Feature X and Feature Y

C. Feature X and Feature Y and Feature Z

D. Feature X and Feature Z

Solution

1. Step 1: Calculate risk scores for all features

   Feature X: 4x3=12
   Feature Y: 5x2=10
   Feature Z: 3x5=15

2. Step 2: Select two features with highest combined risk

   Feature Z (15) and Feature X (12) together cover 27 risk points, higher than other pairs.

3. Final Answer:

   Feature X and Feature Z -> Option D

4. Quick Check:

   Pick top two risk scores for best coverage [OK]

Hint: Pick two features with highest risk scores combined [OK]

Common Mistakes:

• Choosing features with highest impact only
• Selecting features with lowest risk
• Trying to test all three when time is limited