Test Coverage Analyzer

Test Coverage Analyzer

Overview

This skill provides comprehensive test coverage analysis to ensure code quality and identify areas requiring additional testing across multiple programming languages and testing frameworks.

When to Use This Skill

• Analyzing current test coverage metrics
• Identifying untested code paths
• Generating detailed coverage reports
• Setting up quality gates for coverage thresholds
• Comparing coverage between code versions
• Identifying high-risk areas with low coverage

Supported Testing Frameworks

• JavaScript: Jest, Mocha, Jasmine, Cypress
• Python: pytest, unittest, nose
• Java: JUnit, TestNG
• C#: NUnit, xUnit, MSTest
• Ruby: RSpec, minitest
• Go: built-in testing package
• Node.js: various testing libraries

Coverage Metrics

Line Coverage

• Percentage of executable lines covered
• Identification of uncovered lines
• Branch coverage analysis
• Function/method coverage

Branch Coverage

• Conditional statement coverage
• Loop coverage analysis
• Decision point coverage
• Path coverage evaluation

Advanced Metrics

• Statement coverage
• Condition coverage
• Modified condition/decision coverage (MCDC)
• Cyclomatic complexity correlation

Analysis Process

1. Coverage Collection

• Execute tests with coverage instrumentation
• Collect coverage data from all test suites
• Aggregate coverage from multiple test runs
• Generate coverage reports in standard formats

2. Gap Identification

• Identify untested code blocks
• Highlight complex functions with low coverage
• Find unused code paths
• Detect dead code

3. Risk Assessment

• Calculate risk scores based on coverage gaps
• Prioritize areas needing attention
• Identify critical functionality with insufficient testing
• Assess change impact on test coverage

Quality Gates

• Minimum coverage thresholds (e.g., 80% line coverage)
• Per-file coverage requirements
• New code coverage requirements (e.g., 90% for new code)
• Critical module coverage requirements

Reporting Capabilities

• Detailed coverage reports with file-by-file breakdown
• Interactive HTML reports with clickable source code
• Coverage trend analysis over time
• Comparison reports showing coverage changes
• Risk assessment summaries

Recommendations

• Suggest specific test cases for uncovered code
• Identify areas where mocking might improve testability
• Recommend test strategy improvements
• Highlight code that should be refactored for better testability

Integration Points

• CI/CD pipeline integration
• Pull request status checks
• Code quality dashboards
• Team notification systems

Standards and Best Practices

• Industry-standard coverage targets
• Framework-specific best practices
• Performance considerations for coverage tools
• Handling of generated/boilerplate code

Scripts Available

• scripts/run-coverage-analysis.js - Execute coverage analysis
• scripts/generate-report.js - Generate detailed coverage reports
• scripts/check-thresholds.js - Validate coverage meets quality gates
• scripts/compare-coverage.js - Compare coverage between versions

References

• references/coverage-metrics.md - Detailed coverage metrics and calculation methods
• references/testing-strategies.md - Testing strategies and coverage patterns for different test types