% of PRs Merged with Tests
Last updated: February 4, 2026
Overview
The % of PRs Merged with Tests report measures the percentage of your team's merged pull requests that include test code changes. This metric provides visibility into your organization's testing discipline and code quality practices.
What This Report Shows
Primary Metric:
% of PRs Merged with Tests - The percentage of merged PRs containing at least one line of test code
Supporting Metrics:
Total PRs Merged with Tests (count)
Total Merged PRs (denominator)
Calculation: (PRs with Tests ÷ Total Merged PRs) × 100
This is classified as a positive metric - higher percentages indicate better testing practices.
How to Access This Report
Navigate to Insights > Productivity > Velocity → Delivery in the main menu
Locate the "% of PRs merged with tests" metric card
View:
Current percentage value
Historical trend visualization
Percentile ranking (organizational comparison)
Filter by team, individual, or time period
⚠ Important: This metric requires configuration of test file patterns in your organization settings (see Configuration section below).
How the Metric is Calculated
What Counts as a "Test"
A PR is counted as having tests if it:
Adds at least one line to a file matching your test patterns, OR
Modifies at least one line in a file matching your test patterns
Test File Detection
Span uses gitignore-style pattern matching to identify test files:
Applies your organization's explicit test file patterns
Combines with gitignore rules to exclude ignored files
Filters out generated files (lockfiles, build outputs)
Counts added/modified lines in matching files
Marks PR as "has tests" if total > 0
🔴 Critical Requirement: Your organization must explicitly configure test file patterns. Without configuration, the metric cannot distinguish test files from production code.
Configuration: Setting Up Test Detection
Where to Configure
Navigate to Organization Settings → Global Settings → Metrics
Find the "% PRs With Tests Metric" section
Enter test file patterns using gitignore syntax
Maximum pattern length: 5,000 characters
Pattern Syntax (Gitignore Format)
Pattern Type | Example | What It Matches |
Wildcards |
| Files ending with these patterns |
Directories |
| Entire directories |
Nested paths |
| Test directories at any nesting level |
Glob patterns |
| Files at any directory depth |
Exclusions |
| Exclude specific files (use |
Common Patterns by Language
JavaScript/TypeScript:
*.spec.ts
*.test.js
test/
__tests__/
Python:
test_*.py
*_test.py
tests/
Java:
*Test.java
src/test/**
Ruby:
*_spec.rb
spec/
Go:
*_test.go
Configuration Notes
✅ Changes apply retroactively to all historical PRs
✅ Patterns are evaluated with your gitignore configuration
✅ Metric unavailable until at least one pattern is configured
🔒 Requires: Organization Metrics Settings Management permission
Key Insights from This Metric
High Percentages (80%+)
Strong testing culture and discipline
Quality-conscious teams consistently including test coverage
Lower risk of untested code in production
Alignment with industry best practices
Moderate Percentages (50-80%)
Balanced approach with room for improvement
May include legitimate non-tested PRs (docs, config)
Worth investigating specific cases
Low Percentages (<50%)
May indicate legitimate cases (documentation, auto-generated files) OR
Could signal testing discipline gaps
Potential risk from untested changes
Questions to Investigate
Are specific teams/individuals consistently merging untested code?
Do certain PR types legitimately have fewer tests?
Is the trend improving or declining?
Does test coverage correlate with revert rates or defects?
Related Metrics to Review Together
Code Quality Metrics
PR Revert Rate - High reverts + low test coverage = risk
% PRs Merged Without Review - Unreviewed + untested = highest risk
PR Diff Size - Large PRs without tests carry more risk
Delivery Metrics
PRs Merged / Week - Track velocity vs. testing discipline
Total Lines of Code - Test code growth vs. production code
Automated Monitoring
Low PRs with Tests Alert - Triggered when test rate drops 20%+ below historical average
Interpreting the Data
Understanding the Value
Example: "78.5% of PRs merged with tests" = ~4 out of 5 merged PRs included test modifications
Trend Analysis
Trend | Meaning |
📈 Upward | Testing discipline improving (positive) |
📉 Downward | Testing practices declining (investigate) |
📊 Stable | Consistent testing culture maintained |
Drill-Down Dimensions
Segment the metric by:
Individual contributor - Identify coaching opportunities
Team - Compare testing discipline across org
Repository - See which codebases need attention
Time period - Identify when practices changed
Important Limitations
What This Metric Does NOT Measure
❌ Test quality - Only presence, not effectiveness
❌ Code coverage % - Line or branch coverage percentages
❌ Test execution results - Whether tests pass/fail
❌ Functional correctness - Whether code actually works
When Interpretation Gets Tricky
1. Configuration-only PRs
Auto-generated dependency updates
Infrastructure configuration changes
Legitimately may not need test changes
2. Refactoring PRs
Pure refactoring without behavior changes
May not modify tests unless test code itself needs updating
3. Documentation PRs
README or docs updates
Will lower percentage but are low-risk
4. Emergency Hotfixes
Urgent production fixes
May follow different testing workflows
5. Pattern Mismatches
If test patterns don't match your repo structure
May misclassify files
Best Practices
Using This Metric Effectively
✅ DO:
Combine with defect rate, revert rate, and quality metrics
Understand your codebase context and PR types
Review configuration regularly as repos evolve
Set realistic targets based on your team practices
Investigate outliers and significant changes
❌ DON'T:
Use as the sole quality indicator
Apply arbitrary percentage targets
Ignore legitimate non-test PRs
Compare teams with different codebase types
Assume all PRs need test changes
Setting Realistic Targets
Consider:
Your codebase type (frontend vs. backend vs. infrastructure)
Team maturity and existing practices
PR type distribution (features vs. docs vs. config)
Industry benchmarks for similar organizations
Quick Reference by Role
Role | Key Use Case |
Individual Developer | Ensure your PRs include appropriate test coverage |
Team Lead | Monitor team testing discipline trends |
Engineering Manager | Compare testing practices across teams |
QA/Test Lead | Track testing culture adoption |
CTO/VP Engineering | Measure quality practices at org level |
Getting Started Checklist
Configure test file patterns in Organization Settings
Verify patterns match your repository structure
Set baseline measurement for current state
Define target percentage based on codebase type
Set up alerts for significant drops
Review metric monthly alongside quality metrics
Update patterns as repo structure changes
Summary
The "% of PRs Merged with Tests" metric provides clear visibility into your organization's testing discipline. By properly configuring test file patterns and monitoring trends over time, you can identify quality improvements, spot teams needing support, and ensure your engineering organization maintains high standards for shipped code.
Remember: This metric is one piece of your quality puzzle. Use it alongside code review metrics, defect rates, and cycle time to get the complete picture of your engineering effectiveness.