A municipal night-market lead wants to drop equivalence-partitioning class because “the model covers it.” What should managers recognize instead?
Select an answer to reveal the explanation.
Short Explanation
The model does not retire the craft. Managers balance people and AI, set governance for use cases, and keep traditional testing competencies alongside AI literacy. Equivalence partitioning still belongs in the toolkit.
Full Explanation
Managerial shifts include balancing human and AI capabilities, establishing AI governance for GenAI use cases, and maintaining teams’ traditional testing competencies while adding AI literacy. Adoption adds skill; it does not scrap CTFL techniques because a model “covers it.”