A method, computer program product, and a system where a processor(s) obtains, a requirement comprising a structure defined by textual content. The processor(s) identifies content relevant to predefined label(s) in the structure, based on applying a natural language classification algorithm to the structure; each predefined label indicates an atomic function. The processor(s) generates via the natural language classification algorithm, an array of values for each label; each value corresponds to a level of confidence the natural language classification algorithm correctly identified the atomic function indicated by each predefined label, in the structure. The processor(s) ranks the values in the array of values by confidence level, pairing values with labels. The processor(s) evaluates the pairs, utilizing a linear regression, to identify a portion of the pairs relevant to the requirement which are above a relevance threshold. The processor(s) generate a structural quality value for the requirement from a fixed set.
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