Home // International Journal On Advances in Systems and Measurements, volume 8, numbers 3 and 4, 2015 // View article

Frameworks for Natural Language Processing of Textual Requirements

Authors:
Andres Arellano
Edward Zontek-Carney
Mark Austin

Keywords: Systems Engineering; Ontologies; Natural Language Processing; Requirements; Rule Checking

Abstract:
Natural language processing is the application of automated parsing and machine learning techniques to analyze standard text. Applications of NLP to requirements engineering include extraction of ontologies from a requirements specification, and use of NLP to verify the consistency and/or completeness of a requirements specification. This paper describes a new approach to the interpretation, organization, and management of textual requirements through the use of application-specific ontologies and natural language processing. We also design and exercise a prototype software tool that implements the new framework on a simplified model of an aircraft.

Pages: 230 to 240

Copyright: Copyright (c) to authors, 2015. Used with permission.

Publication date: December 30, 2015

Published in: journal

ISSN: 1942-261x