• Home
  • BVSSH
  • Engineering Enablement
  • Playbooks
  • Frameworks
  • Good Reads
Search

What are you looking for?

Standard : Automated Test Coverage

Description

Automated Test Coverage measures the proportion of your system that is exercised by automated tests—including unit, integration, system, and end-to-end tests. It reflects how well-tested the application is by automation, offering insight into potential gaps in safety, maintainability, and regression protection.

This metric is critical for engineering confidence and delivery velocity, especially when releasing frequently or making architectural changes.

How to Use

What to Measure

  • % of code, components, or business-critical paths covered by automated tests.
  • Can be segmented by test type (unit, integration, etc.) and by system area (e.g. APIs, UI, services).

Formula (example)

Automated Test Coverage = (Tested Code Paths or Components / Total Testable Scope) x 100

Instrumentation Tips

  • Use coverage tools like Istanbul, Jacoco, or Codecov.
  • Track coverage across test types (unit, integration, E2E).
  • Include test coverage gates in CI/CD pipelines.

Why It Matters

  • Delivery safety: Higher coverage enables faster releases with confidence.
  • Refactor readiness: Well-tested code is easier to change and improve.
  • Defect prevention: Gaps in coverage often correlate with production bugs.
  • Engineering discipline: Encourages test-first thinking and modular design.

Best Practices

  • Track automated coverage separately from manual testing.
  • Prioritise high-risk and frequently changed components for automation.
  • Combine coverage with test pass rate and defect data.
  • Use visualisation tools to show where gaps exist.
  • Treat coverage improvement as ongoing—not a one-time target.

Common Pitfalls

  • Confusing test coverage with test quality—bad tests still increase coverage.
  • Relying only on unit test coverage (missing integration or E2E).
  • Ignoring coverage in critical paths (e.g. security, auth, error handling).
  • Writing low-value tests just to hit a percentage goal.

Signals of Success

  • Most critical systems are well-covered and changes trigger meaningful tests.
  • Developers use coverage reports in PRs and review feedback.
  • Teams agree on automation thresholds and treat them as standards.
  • Refactors and updates are made with confidence, not fear.

Related Measures

  • [[Code Coverage]]
  • [[Automated Test Pass Rate]]
  • [[Defect Escape Rate]]
  • [[Change Failure Rate]]
  • [[Test Suite Reliability]]

Technical debt is like junk food - easy now, painful later.

Awesome Blogs
  • LinkedIn Engineering
  • Github Engineering
  • Uber Engineering
  • Code as Craft
  • Medium.engineering