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Quality Metrics

Quality Metrics are the quantitative measures used to assess the reliability, maintainability, and correctness of software and business processes. Teams that track the right quality metrics ship faster with fewer regressions and build systems that are cheaper to maintain over time.

What is Quality Metrics?

Software quality metrics include defect density, escaped defects (bugs found in production), test coverage, MTTR (Mean Time To Restore), change failure rate (from DORA metrics), code complexity metrics (cyclomatic complexity), technical debt ratios, and customer-facing quality indicators (crash rates, error rates, P95 latency). Quality engineering teams instrument CI/CD pipelines to track these metrics continuously.

Why Quality Metrics matters for your career

You can't improve what you don't measure. Engineering teams that track quality metrics objectively identify systemic weaknesses, justify investment in test infrastructure, and demonstrate the ROI of quality improvements. DORA metrics in particular have become the industry standard for engineering effectiveness measurement.

Career paths using Quality Metrics

Quality metrics skills are important for QA Lead, Engineering Manager, SRE, Platform Engineer, and Head of Engineering roles. Data engineering teams increasingly build quality dashboards as core engineer productivity infrastructure.

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Frequently asked questions

What are the DORA metrics?▼

DORA (DevOps Research and Assessment) four key metrics are: Deployment Frequency, Lead Time for Changes, Change Failure Rate, and Mean Time To Restore (MTTR). Research shows these four metrics reliably distinguish elite from low-performing engineering organisations.

What's a reasonable test coverage target?▼

Coverage targets are useful but easily gamified. 80% line coverage is a common heuristic, but covering the right code matters more than the number. Critical business logic should have near-complete coverage; utility functions and UI components need less.

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