Contextual Knowledge Representation for Requirements Documents in Natural Language
Beum-Seuk Lee, Barrett R. Bryant · 2002
In software requirements engineering there have been very few attempts to automate the translation from a requirements document written in a natural language (NL) to one of the for-mal specification languages. One of the major reasons for this challenge comes from the ambiguity of the NL requirements documentation because NL depends heavily on context. To make a smooth transition from NL requirements to one of the formal specification languages we need a precise yet expres-sive knowledge representation that captures not only syntac-tic but also contextual information of the requirements. We propose the Contextual Natural Language Processing to over-come the ambiguity in NL using this contextual knowledge representation and Two-Level Grammar (TLG) to construct a bridge between a NL requirements specification and a formal