*The current document is based on the INCOSE Guide for Writing Requirements (GFWR), V2. For information on automating the INCOSE GFWR, V4, download our ‘Incorporating INCOSE’ document. 

EXECUTIVE SUMMARY

The INCOSE Guide for Writing Requirements (GFWR) is one of the most widely recognized standards in requirements engineering, providing best-practice rules to help teams produce clear, accurate, and verifiable system requirements. Systems engineers, product teams, and business analysts rely on it to improve the quality of requirements, reduce ambiguity, and support successful system development.

However, applying the full INCOSE rule set manually can be challenging. The guide includes dozens of detailed rules, and consistently checking requirements for compliance during authoring and review can become time-consuming, subjective, and difficult to scale across projects and teams.

Advances in natural language processing (NLP) now make it possible to automate significant portions of these requirements quality checks. Automated analysis tools can evaluate requirements against established best practices, flag potential ambiguity or inconsistency early, and streamline review workflows. This reduces manual effort while helping teams maintain higher standards of clarity, consistency, and testability.

This guide explains how organizations can operationalize the INCOSE Guide for Writing Requirements through automation. It outlines where automation adds value, how it improves requirement authoring and review efficiency, and how engineering teams can integrate automated requirements quality analysis into modern development workflows.