Test estimation techniques in Testing Fundamentals - Practice Problems & Coding Challenges

Challenge - 5 Problems

🧠 Conceptual

intermediate

Understanding Test Estimation Methods

Which of the following best describes the Wideband Delphi test estimation technique?

A A technique that uses historical defect data to predict the number of tests needed.

B An automated tool that calculates test effort based on code complexity metrics.

C A method where a single tester estimates the time required for all test cases without consulting others.

D A group-based estimation where experts discuss and revise estimates anonymously until consensus is reached.

💡 Hint

Think about group discussions and anonymous feedback in estimation.

Wideband Delphi involves multiple experts providing estimates anonymously, discussing differences, and revising until they agree.

🧠 Conceptual

intermediate

Test Estimation Inputs

Which input is least important when preparing a test effort estimate?

A Availability and skill level of the testing team.

B Requirements complexity and clarity.

C The color scheme of the application UI.

D Historical data from similar past projects.

💡 Hint

Consider what affects test effort realistically.

The UI color scheme does not impact the effort needed to test functionality or performance.

❓ Predict Output

advanced

Output of Test Case Estimation Calculation

Given the following Python code that calculates total test effort based on test cases and average time per test, what is the output?

Testing Fundamentals

test_cases = [5, 8, 3, 10]
avg_time_per_test = 1.5  # hours

total_effort = sum(test_cases) * avg_time_per_test
print(f'Total test effort: {total_effort} hours')

A Total test effort: 39.0 hours

B Total test effort: 26.0 hours

C Total test effort: 39 hours

D Total test effort: 26 hours

💡 Hint

Sum the test cases and multiply by average time.

Sum of test_cases is 5+8+3+10=26. Multiply by 1.5 gives 39.0 hours.

❓ assertion

advanced

Valid Assertion for Test Effort Estimation

Which assertion correctly verifies that the calculated test effort is within an expected range?

Testing Fundamentals

calculated_effort = 40
expected_min = 35
expected_max = 45

A assert calculated_effort == expected_min and calculated_effort == expected_max

B assert expected_min <= calculated_effort <= expected_max

C assert calculated_effort < expected_min or calculated_effort > expected_max

D assert calculated_effort != expected_min or calculated_effort != expected_max

💡 Hint

Think about checking if a value is between two numbers.

Option B correctly asserts the effort is between min and max inclusive.

🔧 Debug

expert

Debugging Estimation Code Error

What error will this Python code raise when estimating test effort?

Testing Fundamentals

test_cases = ['5', '8', '3']
avg_time = 2

total = sum(test_cases) * avg_time
print(total)

A TypeError: unsupported operand type(s) for +: 'int' and 'str'

B ValueError: invalid literal for int() with base 10

C NameError: name 'avg_time' is not defined

D No error, output is 32

💡 Hint

Check the data types in the sum function.

sum() tries to add strings, causing a TypeError when adding int and str.