Feature spotlights

Grades requirements against 10 industry-leading criteria

Using Watson Natural Language Understanding, the Requirements Quality Assistant offers suggestions for quality improvements designed to be consistent with the INCOSE Guidelines for Writing Good Requirements. We catch the following issues: Unclear actors or users, compound requirements, negative requirements, escape clause, missing units, missing tolerances, ambiguity, passive, incomplete requirements, and unspecific quantities.

Becomes "smarter" over time

The solution captures feedback from the requirements engineer. The more the tool is used, the smarter it can become at detecting nuances and context.

Install where you want and how you work

Whether you have IBM Engineering Requirements Management DOORS Nextᴿ on-premises or in the cloud, Requirements Quality Assistant installs in a single step with built-in flexibility.

Integrated with DOORS Next

Requirements Quality Assistant runs as part of IBM Engineering Requirements Management DOORSᴿ Next, so once you create your requirements, they can be immediately submitted for review without moving to a different tool.

Works out-of-the-box

The solution comes “pre-trained” to detect the quality issues, so you can start using it right away.

Customize to suit your needs

Work with IBM to get exactly what you want out of the solution. Want to add to the list of quality issues or build it yourself? We have the tools and services to help you.

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