IBM DOORS Next + Requirements Quality Assistant: AI Requirement Quality Review

IBM augments enterprise requirements management with an AI assistant trained on industry guidelines (e.g., INCOSE) to improve clarity, consistency, and traceability.

Core Features

• Ambiguity Detection: Flags weak terms ("fast", "flexible") & missing specifics.
• Quality Scoring: Rates requirement statements against best practices.
• Guided Corrections: Provides rewrite suggestions in context.
• Traceability Support: Links refined requirements to tests & downstream artifacts.

Use Cases

• Compliance-heavy domains (aerospace, automotive, defense, medical).
• Pre-design requirement cleansing to reduce downstream rework.
• Standardization across large multi-team specifications.

Integrations

• Part of IBM Engineering Lifecycle Management suite.
• Works with test management & model-based engineering artifacts.
• Enterprise deployment & governance controls.

Adoption Indicators

• Established DOORS enterprise base leveraging new AI layer.
• Attention in regulated industry modernization initiatives (2024–2025).

Best For

• Business analysts & systems engineers in safety / compliance domains.
• Enterprises seeking incremental AI enhancement to existing RM stack.

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