A trolley-bunching advisor changes itself overnight. Automated checks compare characteristics after the change with those before. When should testers accept the change?
Select an answer to reveal the explanation.
Short Explanation
A trolley-bunching advisor that changes itself overnight still gets an accept-or-revert check: keep the change if the system improved, otherwise revert. That is A/B testing applied to a self-learning system. Always accepting, always reverting, or treating the overnight change as static drift testing with no accept-or-revert step miss that use.
Full Explanation
A/B testing is the accept-or-revert check after a self-learning change: keep the change if the system improved, otherwise revert. Always accepting, always reverting, or dropping the accept-or-revert step miss that use.