Requirements
Requirements as governed records.
Every requirement is a versioned, controlled item with its own identity, lifecycle, and state — checked for writing quality on demand and verified against your organization’s compliance rules. And they are the anchor of the thread that ties your whole program together.
The requirement workbench — identity, workflow state, quality and compliance checks, and every field in one controlled record.
What it does
Written under control, measured, and checked.
A requirement is not a row of text. It is a controlled record — and three kinds of governance keep it trustworthy from the first draft.
Lifecycle & states
Draft, review, approved, and beyond — each transition governed by a workflow that decides who can move a requirement, from which state, and what the move requires. A status here means something an auditor can rely on.
Quality scoring on demand
Run checks to score wording against EARS, INCOSE, and IEEE 29148 language rules. A stale banner tells you when an edit means the results need re-running, so a weak or ambiguous requirement is caught while it is cheap to fix — not discovered downstream.
Compliance verification on the record
Verification rules your organization configures — traceability, workflow, and content — are evaluated against the requirement and shown on the record, so gaps are visible before approval rather than found in a scramble before a submission.
Versions & history
Item types and fields give every requirement a consistent shape; versioning is always on, and versions and history capture every change, so the record’s full evolution is accountable.
On the thread
The anchor everything else connects to.
Requirements are where traceability begins. The quality of the requirement record propagates through everything linked to it.
Test cases reference the requirements they prove, so coverage and suspect status stay live.
SysML model elements trace to the requirements they realize, in the same database.
Derive with AI
Turn requirements into the rest of the thread.
Point the governed derivation engine at a set of requirements and it proposes the downstream work products they imply — grounded, cited, and yours to accept. Nothing is written until you do.
Start with requirements you can trust.
Author them under control, check them before review, and let the rest of your program trace back to them.