Requirement to Code Traceability
Follow a requirement to the code that shipped it, and recover requirements from code that exists.
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QA Intelligence
Test cases drafted from your acceptance criteria. Approved by your QA lead.
- Test cases drafted from acceptance criteria
- Requirement-to-test traceability
- Quality gates with recorded decisions
What is SyncupHUB QA Intelligence?
QA Intelligence is SyncupHUB’s test management and quality layer. AI drafts test cases from a story’s acceptance criteria, covering positive, negative and security cases, and your QA lead reviews and approves them. Every case traces back to its requirement, so coverage of committed stories, quality gates and release readiness rest on evidence rather than a pass rate.
How it works
Start from the criteria
Each story’s acceptance criteria are the source for its tests, so a test exists because a requirement asked for it.
AI drafts the cases
Test cases are drafted for each criterion, from the expected path to the failure cases and security checks, as proposals rather than finished tests.
QA reviews and approves
Your QA lead edits, accepts or rejects each draft. Approved versions are protected, and a later change creates a new version.
Prove readiness
Executions, results and linked defects roll up into coverage for committed stories and into quality gates, whose decisions are recorded for the release.
What’s included
- AI-drafted test cases from acceptance criteria
- Test repositories, cases, sets and plans
- Review and approval, with protected approved versions
- Executions, results and linked defects
- Requirement-to-test traceability
- Coverage for committed stories
- Quality gates with recorded decisions
- Sprint quality reports
- Quality Review Agent test recommendations
What it needs
Stated plainly, before a demo does.
- AI-drafted cases are proposals until a person approves them.
- Automation import and external evidence storage need configuring.
Questions about QA Intelligence
Can SyncupHUB create test cases automatically?
Yes, as drafts. AI drafts test cases from a story’s acceptance criteria, including positive, negative and security cases, and each one links back to the criterion it covers. A QA lead reviews and approves them before they join the test repository.
How are AI-drafted test cases reviewed?
Drafts appear for review, and a QA lead edits, accepts or rejects each one. Approved test versions are protected: changing an approved test creates a new version rather than overwriting the one that was signed off.
What is requirement-to-test traceability?
It links every test to the requirement it verifies. In SyncupHUB you can open a requirement and see its tests and their latest results, and see which committed stories still have no coverage before a release.
Does QA Intelligence replace our test automation tools?
No. It manages test design, approval, execution records, coverage and quality gates, and imports results from your automation. Automation import and external evidence storage need configuring for your tools.
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See QA Intelligence on your own delivery
A 30-minute walkthrough on your delivery model, not a generic demo.