Quality Metrics FAQs

Question 1

How does this skill help with quality gates?

Accepted Answer

It defines automated thresholds for test pass rates, security vulnerabilities, and performance that can block or warn during commits, PRs, or releases to ensure code standards are met.

Question 2

Which AI agents are involved in these quality workflows?

Accepted Answer

The skill coordinates specialized agents including the qe-quality-analyzer for trends, the qe-test-executor for data collection, and the qe-quality-gate for enforcement decisions.

Question 3

Can this skill integrate with dashboards like Grafana?

Accepted Answer

Yes, the skill includes implementation patterns for agents to generate configurations for visualization tools like Grafana based on delivery, quality, and stability metrics.

Question 4

What are DORA metrics?

Accepted Answer

DORA metrics are four key indicators—Deployment Frequency, Lead Time for Changes, Change Failure Rate, and MTTR—used to measure the performance and stability of software development teams.

Question 5

Why focus on Bug Escape Rate over Code Coverage?

Accepted Answer

Code coverage measures activity (lines touched), while Bug Escape Rate measures outcomes (how many bugs reach production), providing a more accurate picture of actual software quality.

Quality Metrics

主要功能

使用场景

Quality Metrics

主要功能

使用场景