A ferry-queue estimator must cope with fog, late trains, and festival crowds that no one listed as coded exceptions. Stakeholders ask why the team did not just write more branches. Why is a probabilistic, pattern-based AI-based system chosen here?
Select an answer to reveal the explanation.
Short Explanation
Fog, late trains, and unlisted festival crowds cannot be fully written as if-then exceptions. That leftover uncertainty is why a probabilistic, pattern-based system is chosen. More branches do not already cover what nobody listed, and AI is not chosen only after every exception is coded.
Full Explanation
Conventional enumeration fails when cases cannot be fully specified in advance. Testers should recognize that probabilistic, pattern-based AI is selected for that residual uncertainty. Claiming the cases are already enumerable, or that AI requires every exception to be coded first, misses the reason.