Which of the following factors does NOT directly affect the calculation of Automation ROI?
Think about what costs and savings are directly related to automation itself.
Automation ROI focuses on costs and savings related to automation efforts. Hiring more manual testers after automation is unrelated and does not directly impact ROI.
What is the output of the following Python code that calculates automation ROI percentage?
initial_investment = 5000 annual_savings = 15000 roi = ((annual_savings - initial_investment) / initial_investment) * 100 print(f"Automation ROI: {roi:.2f}%")
Calculate (15000 - 5000) / 5000 * 100 carefully.
ROI = ((15000 - 5000) / 5000) * 100 = (10000 / 5000) * 100 = 2 * 100 = 200%
Which assertion correctly tests that the ROI calculation function returns the expected ROI percentage?
def calculate_roi(initial_cost, annual_savings): return ((annual_savings - initial_cost) / initial_cost) * 100 roi = calculate_roi(4000, 12000)
Calculate ROI manually: ((12000 - 4000) / 4000) * 100
ROI = (8000 / 4000) * 100 = 2 * 100 = 200
What error will the following code produce when calculating automation ROI?
def automation_roi(initial_cost, annual_savings): roi = (annual_savings - initial_cost) / initial_cost * 100 return roi print(automation_roi(0, 10000))
What happens if you divide by zero in Python?
Dividing by zero causes a ZeroDivisionError in Python.
Which approach best ensures accurate and maintainable automation ROI reporting in a test automation framework?
Think about maintainability and automation of reporting.
Storing data separately and calculating ROI dynamically allows easy updates and accurate reporting without changing test scripts.