A bus-stop board shows passenger counts below zero, mixed units in one column, and the word “busy” in a count field. Which mitigation should the tester pick?
Select an answer to reveal the explanation.
Short Explanation
Negative passenger counts, mixed units in one column, and the word “busy” in a count field are internal inconsistency, out-of-range values, and wrong types. Dataset constraint testing is the match. Bias testing hunts sensitive-attribute gaps, a Chapter 6 metamorphic derivation is a later method, and label-correctness testing hunts annotator disagreement, not a type clash.
Full Explanation
Inconsistent, out-of-range, and wrong-type data map to dataset constraint testing. Bias testing, Chapter 6 derivation, and label testing miss that match.