Abstract
[Context and motivation] Identifying requirements defects such as ambiguity and incompleteness is an important and challenging task in requirements engineering (RE). [Question/Problem] We investigate whether combining humans’ cognitive and analytical capabilities with automated reasoning is a viable method to support the identification of requirements quality defects. [Principalideas/results] We propose a
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