Expand description
Analytics engine — deeper metrics for requirements management.
Computes velocity trends, requirement churn, AI contribution metrics, quality score trends, cycle time distributions, and more from the existing requirement data (history entries, AI evaluations, timestamps).
Structs§
- AiMetrics
- AI contribution metrics.
- Analytics
Report - Full analytics report.
- Churn
Metrics - Churn metrics — how much requirements change after creation.
- Cycle
Time Stats - Cycle time statistics.
- Quality
Point - Quality score over time.
- Time
Bucket - A time bucket with a count value.
- Traceability
Metrics - Traceability coverage metrics.
Functions§
- compute_
analytics - Compute the full analytics report from a set of requirements.