Improving the Quality of Natural Language Requirements Specifications through Natural Language Requirements Patterns

This paper presents an approach for reducing the problem of ambiguity and imprecision in natural language requirements specifications with the use of language quality patterns and guiding rules. To ensure the applicability of our approach, we study different sets of requirements documents from several domains. We further validate our approach by rewriting the requirements statements derived from these requirements documents.