test-coverage-analyzer

Test Coverage Analyzer

Analyze test coverage and identify testing gaps.

Quick Start

Run coverage and analyze results:

# JavaScript/TypeScript
npm test -- --coverage

# Python
pytest --cov=src --cov-report=term-missing

# Go
go test -cover ./...

Instructions

Step 1: Generate Coverage Report

JavaScript/TypeScript (Jest):

npm test -- --coverage --coverageReporters=text --coverageReporters=lcov

JavaScript/TypeScript (Vitest):

vitest run --coverage

Python (pytest):

pytest --cov=src --cov-report=html --cov-report=term-missing

Go:

go test -coverprofile=coverage.out ./...
go tool cover -html=coverage.out

Step 2: Analyze Coverage Metrics

Review these key metrics:

• Line coverage: Percentage of lines executed
• Branch coverage: Percentage of conditional branches tested
• Function coverage: Percentage of functions called
• Statement coverage: Percentage of statements executed

Target thresholds:

• Critical code: 80%+ coverage
• Standard code: 60%+ coverage
• UI/Config: 40%+ coverage

Step 3: Identify Gaps

Look for:

• Uncovered functions: Functions with 0% coverage
• Partial coverage: Functions with <50% coverage
• Missing branches: Untested if/else paths
• Error paths: Untested catch blocks
• Edge cases: Boundary conditions not tested

Step 4: Prioritize Testing

High Priority (test first):

• Business logic with 0% coverage
• Security-critical functions
• Payment/transaction code
• Data validation logic
• Error handling paths

Medium Priority (test next):

• API endpoints
• Database operations
• Utility functions
• Configuration logic

Low Priority (test if time permits):

• Simple getters/setters
• UI presentation logic
• Type definitions
• Generated code

Step 5: Create Action Plan

For each gap:

1. Identify the untested code
2. Determine test type needed (unit/integration/e2e)
3. Estimate effort (small/medium/large)
4. Assign priority (high/medium/low)
5. Create test implementation tasks