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# Codebase Audit Criteria Checklist
This document provides a comprehensive checklist for auditing codebases based on modern software engineering best practices (2024-25).
## 1. Code Quality
### Complexity Metrics
- [ ] Cyclomatic complexity measured for all functions/methods
- [ ] Functions with complexity > 10 flagged as warnings
- [ ] Functions with complexity > 20 flagged as critical
- [ ] Cognitive complexity analyzed
- [ ] Maximum nesting depth < 4 levels
- [ ] Function/method length < 50 LOC (recommendation)
- [ ] File length < 500 LOC (recommendation)
### Code Duplication
- [ ] Duplication analysis performed (minimum 6-line blocks)
- [ ] Overall duplication < 5%
- [ ] Duplicate blocks identified with locations
- [ ] Opportunities for abstraction documented
### Code Smells
- [ ] God objects/classes identified (> 10 public methods)
- [ ] Feature envy detected (high coupling to other classes)
- [ ] Dead code identified (unused imports, variables, functions)
- [ ] Magic numbers replaced with named constants
- [ ] Hard-coded values moved to configuration
- [ ] Naming conventions consistent
- [ ] Error handling comprehensive
- [ ] No console.log in production code
- [ ] No commented-out code blocks
### Language-Specific (TypeScript/JavaScript)
- [ ] No use of `any` type (strict mode)
- [ ] No use of `var` keyword
- [ ] Strict equality (`===`) used consistently
- [ ] Return type annotations present for functions
- [ ] Non-null assertions justified with comments
- [ ] Async/await preferred over Promise chains
- [ ] No implicit any returns
## 2. Testing & Coverage
### Coverage Metrics
- [ ] Line coverage >= 80%
- [ ] Branch coverage >= 75%
- [ ] Function coverage >= 90%
- [ ] Critical paths have 100% coverage (auth, payment, data processing)
- [ ] Coverage reports generated and accessible
### Testing Trophy Distribution
- [ ] Integration tests: ~70% of total tests
- [ ] Unit tests: ~20% of total tests
- [ ] E2E tests: ~10% of total tests
- [ ] Actual distribution documented
### Test Quality
- [ ] Tests follow "should X when Y" naming pattern
- [ ] Tests are isolated and independent
- [ ] No tests of implementation details (brittle tests)
- [ ] Single assertion per test (or grouped related assertions)
- [ ] Edge cases covered
- [ ] No flaky tests
- [ ] Tests use semantic queries (getByRole, getByLabelText)
- [ ] Avoid testing emoji presence, exact DOM counts, element ordering
### Test Performance
- [ ] Tests complete in < 30 seconds (unit/integration)
- [ ] CPU usage monitored (use `npm run test:low -- --run`)
- [ ] No runaway test processes
- [ ] Tests run in parallel where possible
- [ ] Max threads limited to prevent CPU overload
## 3. Security
### Dependency Vulnerabilities
- [ ] No critical CVEs in dependencies
- [ ] No high-severity CVEs in dependencies
- [ ] All dependencies using supported versions
- [ ] No dependencies unmaintained for > 2 years
- [ ] License compliance verified
- [ ] No dependency confusion risks
### OWASP Top 10 (2024)
- [ ] Access control properly implemented
- [ ] Sensitive data encrypted at rest and in transit
- [ ] Input validation prevents injection attacks
- [ ] Security design patterns followed
- [ ] Security configuration reviewed (no defaults)
- [ ] All components up-to-date
- [ ] Authentication robust (MFA, rate limiting)
- [ ] Software integrity verified (SRI, signatures)
- [ ] Security logging and monitoring enabled
- [ ] SSRF protections in place
### Secrets Management
- [ ] No API keys in code
- [ ] No tokens in code
- [ ] No passwords in code
- [ ] No private keys committed
- [ ] Environment variables properly used
- [ ] No secrets in client-side code
- [ ] .env files in .gitignore
- [ ] Git history clean of secrets
### Security Best Practices
- [ ] Input validation on all user inputs
- [ ] Output encoding prevents XSS
- [ ] CSRF tokens implemented
- [ ] Secure session management
- [ ] HTTPS enforced
- [ ] CSP headers configured
- [ ] Rate limiting on APIs
- [ ] SQL prepared statements used
## 4. Architecture & Design
### SOLID Principles
- [ ] Single Responsibility: Classes/modules have one reason to change
- [ ] Open/Closed: Open for extension, closed for modification
- [ ] Liskov Substitution: Subtypes are substitutable for base types
- [ ] Interface Segregation: Clients not forced to depend on unused methods
- [ ] Dependency Inversion: Depend on abstractions, not concretions
### Design Patterns
- [ ] Appropriate patterns used (Factory, Strategy, Observer, etc.)
- [ ] No anti-patterns (Singleton abuse, God Object, etc.)
- [ ] Not over-engineered
- [ ] Not under-engineered
### Modularity
- [ ] Low coupling between modules
- [ ] High cohesion within modules
- [ ] No circular dependencies
- [ ] Proper separation of concerns
- [ ] Clean public APIs
- [ ] Internal implementation details hidden
## 5. Performance
### Build Performance
- [ ] Build time < 2 minutes for typical project
- [ ] Bundle size documented and optimized
- [ ] Code splitting implemented
- [ ] Tree-shaking enabled
- [ ] Source maps configured correctly
- [ ] Production build optimized
### Runtime Performance
- [ ] No memory leaks
- [ ] Algorithms efficient (avoid O(n²) where possible)
- [ ] No excessive re-renders (React/Vue)
- [ ] Computations memoized where appropriate
- [ ] Images optimized (< 200KB)
- [ ] Videos optimized or lazy-loaded
- [ ] Lazy loading for large components
### CI/CD Performance
- [ ] Pipeline runs in < 10 minutes
- [ ] Deployment frequency documented
- [ ] Test execution time < 5 minutes
- [ ] Docker images < 500MB (if applicable)
## 6. Documentation
### Code Documentation
- [ ] Public APIs documented (JSDoc/TSDoc)
- [ ] Complex logic has inline comments
- [ ] README.md comprehensive
- [ ] Architecture Decision Records (ADRs) present
- [ ] API documentation available
- [ ] CONTRIBUTING.md exists
- [ ] CODE_OF_CONDUCT.md exists
### Documentation Maintenance
- [ ] No outdated documentation
- [ ] No broken links
- [ ] All sections complete
- [ ] Code examples work correctly
- [ ] Changelog maintained
## 7. DevOps & CI/CD
### CI/CD Maturity
- [ ] Automated testing in pipeline
- [ ] Automated deployment configured
- [ ] Development/staging/production environments
- [ ] Rollback capability exists
- [ ] Feature flags used for risky changes
- [ ] Blue-green or canary deployments
### DORA 4 Metrics
- [ ] Deployment frequency measured
- Elite: Multiple times per day
- High: Once per day to once per week
- Medium: Once per week to once per month
- Low: Less than once per month
- [ ] Lead time for changes measured
- Elite: Less than 1 hour
- High: 1 day to 1 week
- Medium: 1 week to 1 month
- Low: More than 1 month
- [ ] Change failure rate measured
- Elite: < 1%
- High: 1-5%
- Medium: 5-15%
- Low: > 15%
- [ ] Time to restore service measured
- Elite: < 1 hour
- High: < 1 day
- Medium: 1 day to 1 week
- Low: > 1 week
### Infrastructure as Code
- [ ] Configuration managed as code
- [ ] Infrastructure versioned
- [ ] Secrets managed securely (Vault, AWS Secrets Manager)
- [ ] Environment variables documented
## 8. Accessibility (WCAG 2.1 AA)
### Semantic HTML
- [ ] Proper heading hierarchy (h1 → h2 → h3)
- [ ] ARIA labels where needed
- [ ] Form labels associated with inputs
- [ ] Landmark regions defined (header, nav, main, footer)
### Keyboard Navigation
- [ ] All interactive elements keyboard accessible
- [ ] Focus management implemented
- [ ] Tab order logical
- [ ] Focus indicators visible
### Screen Reader Support
- [ ] Images have alt text
- [ ] ARIA live regions for dynamic content
- [ ] Links have descriptive text
- [ ] Form errors announced
### Color & Contrast
- [ ] Text contrast >= 4.5:1 (normal text)
- [ ] Text contrast >= 3:1 (large text 18pt+)
- [ ] UI components contrast >= 3:1
- [ ] Color not sole means of conveying information
## 9. Technical Debt
### SQALE Rating
- [ ] Technical debt quantified in person-days
- [ ] Rating assigned (A-E)
- A: <= 5% of development time
- B: 6-10%
- C: 11-20%
- D: 21-50%
- E: > 50%
### Debt Categories
- [ ] Code smell debt identified
- [ ] Test debt quantified
- [ ] Documentation debt listed
- [ ] Security debt prioritized
- [ ] Performance debt noted
- [ ] Architecture debt evaluated
## 10. Project-Specific Standards
### Connor's Global Standards
- [ ] TypeScript strict mode enabled
- [ ] No `any` types
- [ ] Explicit return types
- [ ] Comprehensive error handling
- [ ] 80%+ test coverage
- [ ] No console.log statements
- [ ] No `var` keyword
- [ ] No loose equality (`==`)
- [ ] Conventional commits format
- [ ] Branch naming follows pattern: (feature|bugfix|chore)/{component-name}
## Audit Completion
### Final Checks
- [ ] All critical issues identified
- [ ] All high-severity issues documented
- [ ] Severity assigned to each finding
- [ ] Remediation effort estimated
- [ ] Report generated
- [ ] Remediation plan created
- [ ] Stakeholders notified
---
**Note**: This checklist is based on industry best practices as of 2024-25. Adjust severity thresholds and criteria based on your project's maturity stage and business context.

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# Modern SDLC Best Practices (2024-25)
This document outlines industry-standard software development lifecycle best practices based on 2024-25 research and modern engineering standards.
## Table of Contents
1. [Development Workflow](#development-workflow)
2. [Testing Strategy](#testing-strategy)
3. [Security (DevSecOps)](#security-devsecops)
4. [Code Quality](#code-quality)
5. [Performance](#performance)
6. [Documentation](#documentation)
7. [DevOps & CI/CD](#devops--cicd)
8. [DORA Metrics](#dora-metrics)
9. [Developer Experience](#developer-experience)
10. [Accessibility](#accessibility)
---
## Development Workflow
### Version Control (Git)
**Branching Strategy**:
- Main/master branch is always deployable
- Feature branches for new work: `feature/{component-name}`
- Bugfix branches: `bugfix/{issue-number}`
- Release branches for production releases
- No direct commits to main (use pull requests)
**Commit Messages**:
- Follow Conventional Commits format
- Structure: `type(scope): description`
- Types: feat, fix, docs, style, refactor, test, chore
- Example: `feat(auth): add OAuth2 social login`
**Code Review**:
- All changes require peer review
- Use pull request templates
- Automated checks must pass before merge
- Review within 24 hours for team velocity
- Focus on logic, security, and maintainability
### Test-Driven Development (TDD)
**RED-GREEN-REFACTOR Cycle**:
1. **RED**: Write failing test first
2. **GREEN**: Write minimum code to pass
3. **REFACTOR**: Improve code quality while tests pass
**Benefits**:
- Better design through testability
- Documentation through tests
- Confidence to refactor
- Fewer regression bugs
---
## Testing Strategy
### Testing Trophy (Kent C. Dodds)
**Philosophy**: "Write tests. Not too many. Mostly integration."
**Distribution**:
- **Integration Tests (70%)**: User workflows and component interaction
- Test real user behavior
- Test multiple units working together
- Higher confidence than unit tests
- Example: User registration flow end-to-end
- **Unit Tests (20%)**: Complex business logic only
- Pure functions
- Complex algorithms
- Edge cases and error handling
- Example: Tax calculation logic
- **E2E Tests (10%)**: Critical user journeys
- Full stack, production-like environment
- Happy path scenarios
- Critical business flows
- Example: Complete purchase flow
### What NOT to Test (Brittle Patterns)
**Avoid**:
- Emoji presence in UI elements
- Exact number of DOM elements
- Specific element ordering (unless critical)
- API call counts (unless performance critical)
- CSS class names and styling
- Implementation details over user behavior
- Private methods/functions
- Third-party library internals
### What to Prioritize (User-Focused)
**Prioritize**:
- User workflows and interactions
- Business logic and calculations
- Data accuracy and processing
- Error handling and edge cases
- Performance within acceptable limits
- Accessibility compliance (WCAG 2.1 AA)
- Security boundaries
### Semantic Queries (React Testing Library)
**Priority Order**:
1. `getByRole()` - Most preferred (accessibility-first)
2. `getByLabelText()` - Form elements
3. `getByPlaceholderText()` - Inputs without labels
4. `getByText()` - User-visible content
5. `getByDisplayValue()` - Form current values
6. `getByAltText()` - Images
7. `getByTitle()` - Title attributes
8. `getByTestId()` - Last resort only
### Coverage Targets
**Minimum Requirements**:
- Overall coverage: **80%**
- Critical paths: **100%** (auth, payment, data processing)
- Branch coverage: **75%**
- Function coverage: **90%**
**Tools**:
- Jest/Vitest for unit & integration tests
- Cypress/Playwright for E2E tests
- Istanbul/c8 for coverage reporting
---
## Security (DevSecOps)
### Shift-Left Security
**Principle**: Integrate security into every development stage, not as an afterthought.
**Cost Multiplier**:
- Fix in **design**: 1x cost
- Fix in **development**: 5x cost
- Fix in **testing**: 10x cost
- Fix in **production**: 30x cost
### OWASP Top 10 (2024)
1. **Broken Access Control**: Enforce authorization checks on every request
2. **Cryptographic Failures**: Use TLS, encrypt PII, avoid weak algorithms
3. **Injection**: Validate input, use prepared statements, sanitize output
4. **Insecure Design**: Threat modeling, secure design patterns
5. **Security Misconfiguration**: Harden defaults, disable unnecessary features
6. **Vulnerable Components**: Keep dependencies updated, scan for CVEs
7. **Authentication Failures**: MFA, rate limiting, secure session management
8. **Software Integrity Failures**: Verify integrity with signatures, SRI
9. **Security Logging**: Log security events, monitor for anomalies
10. **SSRF**: Validate URLs, whitelist allowed domains
### Dependency Management
**Best Practices**:
- Run `npm audit` / `yarn audit` weekly
- Update dependencies monthly
- Use Dependabot/Renovate for automated updates
- Pin dependency versions in production
- Check licenses for compliance
- Monitor CVE databases
### Secrets Management
**Rules**:
- NEVER commit secrets to version control
- Use environment variables for configuration
- Use secret management tools (Vault, AWS Secrets Manager)
- Rotate secrets regularly
- Scan git history for leaked secrets
- Use `.env.example` for documentation, not `.env`
---
## Code Quality
### Complexity Metrics
**Cyclomatic Complexity**:
- **1-10**: Simple, easy to test
- **11-20**: Moderate, consider refactoring
- **21-50**: High, should refactor
- **50+**: Very high, must refactor
**Tool**: ESLint `complexity` rule, SonarQube
### Code Duplication
**Thresholds**:
- **< 5%**: Excellent
- **5-10%**: Acceptable
- **10-20%**: Needs attention
- **> 20%**: Critical issue
**DRY Principle**: Don't Repeat Yourself
- Extract common code into functions/modules
- Use design patterns (Template Method, Strategy)
- Balance DRY with readability
### Code Smells
**Common Smells**:
- **God Object**: Too many responsibilities
- **Feature Envy**: Too much coupling to other classes
- **Long Method**: > 50 lines
- **Long Parameter List**: > 4 parameters
- **Dead Code**: Unused code
- **Magic Numbers**: Hard-coded values
- **Primitive Obsession**: Overuse of primitives vs objects
**Refactoring Techniques**:
- Extract Method
- Extract Class
- Introduce Parameter Object
- Replace Magic Number with Constant
- Remove Dead Code
### Static Analysis
**Tools**:
- **SonarQube**: Comprehensive code quality platform
- **ESLint**: JavaScript/TypeScript linting
- **Prettier**: Code formatting
- **TypeScript**: Type checking in strict mode
- **Checkmarx**: Security-focused analysis
---
## Performance
### Build Performance
**Targets**:
- Build time: < 2 minutes
- Hot reload: < 200ms
- First build: < 5 minutes
**Optimization**:
- Use build caching
- Parallelize builds
- Tree-shaking
- Code splitting
- Lazy loading
### Runtime Performance
**Web Vitals (Core)**:
- **LCP (Largest Contentful Paint)**: < 2.5s
- **FID (First Input Delay)**: < 100ms
- **CLS (Cumulative Layout Shift)**: < 0.1
**API Performance**:
- **P50**: < 100ms
- **P95**: < 500ms
- **P99**: < 1000ms
**Optimization Techniques**:
- Caching (Redis, CDN)
- Database indexing
- Query optimization
- Compression (gzip, Brotli)
- Image optimization (WebP, lazy loading)
- Code splitting and lazy loading
### Bundle Size
**Targets**:
- Initial bundle: < 200KB (gzipped)
- Total JavaScript: < 500KB (gzipped)
- Images optimized: < 200KB each
**Tools**:
- webpack-bundle-analyzer
- Lighthouse
- Chrome DevTools Performance tab
---
## Documentation
### Code Documentation
**JSDoc/TSDoc**:
- Document all public APIs
- Include examples for complex functions
- Document parameters, return types, exceptions
**Example**:
```typescript
/**
* Calculates the total price including tax and discounts.
*
* @param items - Array of cart items
* @param taxRate - Tax rate as decimal (e.g., 0.08 for 8%)
* @param discountCode - Optional discount code
* @returns Total price with tax and discounts applied
* @throws {InvalidDiscountError} If discount code is invalid
*
* @example
* const total = calculateTotal(items, 0.08, 'SUMMER20');
*/
function calculateTotal(items: CartItem[], taxRate: number, discountCode?: string): number {
// ...
}
```
### Project Documentation
**Essential Files**:
- **README.md**: Project overview, setup instructions, quick start
- **CONTRIBUTING.md**: How to contribute, coding standards, PR process
- **CODE_OF_CONDUCT.md**: Community guidelines
- **CHANGELOG.md**: Version history and changes
- **LICENSE**: Legal license information
- **ARCHITECTURE.md**: High-level architecture overview
- **ADRs** (Architecture Decision Records): Document important decisions
---
## DevOps & CI/CD
### Continuous Integration
**Requirements**:
- Automated testing on every commit
- Build verification
- Code quality checks (linting, formatting)
- Security scanning
- Fast feedback (< 10 minutes)
**Pipeline Stages**:
1. Lint & Format Check
2. Unit Tests
3. Integration Tests
4. Security Scan
5. Build Artifacts
6. Deploy to Staging
7. E2E Tests
8. Deploy to Production (with approval)
### Continuous Deployment
**Strategies**:
- **Blue-Green**: Two identical environments, switch traffic
- **Canary**: Gradual rollout to subset of users
- **Rolling**: Update instances incrementally
- **Feature Flags**: Control feature visibility without deployment
**Rollback**:
- Automated rollback on failure detection
- Keep last 3-5 versions deployable
- Database migrations reversible
- Monitor key metrics post-deployment
### Infrastructure as Code
**Tools**:
- Terraform, CloudFormation, Pulumi
- Ansible, Chef, Puppet
- Docker, Kubernetes
**Benefits**:
- Version-controlled infrastructure
- Reproducible environments
- Disaster recovery
- Automated provisioning
---
## DORA Metrics
**Four Key Metrics** (DevOps Research and Assessment):
### 1. Deployment Frequency
**How often code is deployed to production**
- **Elite**: Multiple times per day
- **High**: Once per day to once per week
- **Medium**: Once per week to once per month
- **Low**: Less than once per month
### 2. Lead Time for Changes
**Time from commit to production**
- **Elite**: Less than 1 hour
- **High**: 1 day to 1 week
- **Medium**: 1 week to 1 month
- **Low**: More than 1 month
### 3. Change Failure Rate
**Percentage of deployments causing failures**
- **Elite**: < 1%
- **High**: 1-5%
- **Medium**: 5-15%
- **Low**: > 15%
### 4. Time to Restore Service
**Time to recover from production incident**
- **Elite**: < 1 hour
- **High**: < 1 day
- **Medium**: 1 day to 1 week
- **Low**: > 1 week
**Tracking**: Use CI/CD tools, APM (Application Performance Monitoring), incident management systems
---
## Developer Experience
### Why It Matters
**Statistics**:
- 83% of engineers experience burnout
- Developer experience is the strongest predictor of delivery capability
- Happy developers are 2x more productive
### Key Factors
**Fast Feedback Loops**:
- Quick build times
- Fast test execution
- Immediate linting/formatting feedback
- Hot module reloading
**Good Tooling**:
- Modern IDE with autocomplete
- Debuggers and profilers
- Automated code reviews
- Documentation generators
**Clear Standards**:
- Coding style guides
- Architecture documentation
- Onboarding guides
- Runbooks for common tasks
**Psychological Safety**:
- Blameless post-mortems
- Encourage experimentation
- Celebrate learning from failure
- Mentorship programs
---
## Accessibility
### WCAG 2.1 Level AA Compliance
**Four Principles (POUR)**:
1. **Perceivable**: Information must be presentable to users
- Alt text for images
- Captions for videos
- Color contrast ratios
2. **Operable**: UI components must be operable
- Keyboard navigation
- Sufficient time to read content
- No seizure-inducing content
3. **Understandable**: Information must be understandable
- Readable text
- Predictable behavior
- Input assistance (error messages)
4. **Robust**: Content must be robust across technologies
- Valid HTML
- ARIA attributes
- Cross-browser compatibility
### Testing Tools
**Automated**:
- axe DevTools
- Lighthouse
- WAVE
- Pa11y
**Manual**:
- Keyboard navigation testing
- Screen reader testing (NVDA, JAWS, VoiceOver)
- Color contrast checkers
- Zoom testing (200%+)
---
## Modern Trends (2024-25)
### AI-Assisted Development
**Tools**:
- GitHub Copilot
- ChatGPT / Claude
- Tabnine
- Amazon CodeWhisperer
**Best Practices**:
- Review all AI-generated code
- Write tests for AI code
- Understand before committing
- Train team on effective prompting
### Platform Engineering
**Concept**: Internal developer platforms to improve developer experience
**Components**:
- Self-service infrastructure
- Golden paths (templates)
- Developer portals
- Observability dashboards
### Observability (vs Monitoring)
**Three Pillars**:
1. **Logs**: What happened
2. **Metrics**: Quantitative data
3. **Traces**: Request flow through system
**Tools**:
- Datadog, New Relic, Grafana
- OpenTelemetry for standardization
- Distributed tracing (Jaeger, Zipkin)
---
## Industry Benchmarks (2024-25)
### Code Quality
- Tech debt ratio: < 5%
- Duplication: < 5%
- Test coverage: > 80%
- Build time: < 2 minutes
### Security
- CVE remediation: < 30 days
- Security training: Quarterly
- Penetration testing: Annually
### Performance
- Page load: < 3 seconds
- API response: P95 < 500ms
- Uptime: 99.9%+
### Team Metrics
- Pull request review time: < 24 hours
- Deployment frequency: Daily+
- Incident MTTR: < 1 hour
- Developer onboarding: < 1 week
---
**References**:
- DORA State of DevOps Report 2024
- OWASP Top 10 (2024 Edition)
- WCAG 2.1 Guidelines
- Kent C. Dodds Testing Trophy
- SonarQube Quality Gates
- Google Web Vitals
**Last Updated**: 2024-25
**Version**: 1.0

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# Severity Matrix & Issue Prioritization
This document defines how to categorize and prioritize issues found during codebase audits.
## Severity Levels
### Critical (P0) - Fix Immediately
**Definition**: Issues that pose immediate risk to security, data integrity, or production stability.
**Characteristics**:
- Security vulnerabilities with known exploits (CVE scores >= 9.0)
- Secrets or credentials exposed in code
- Data loss or corruption risks
- Production-breaking bugs
- Authentication/authorization bypasses
- SQL injection or XSS vulnerabilities
- Compliance violations (GDPR, HIPAA, etc.)
**Timeline**: Must be fixed within 24 hours
**Effort vs Impact**: Fix immediately regardless of effort
**Deployment**: Requires immediate hotfix release
**Examples**:
- API key committed to repository
- SQL injection vulnerability in production endpoint
- Authentication bypass allowing unauthorized access
- Critical CVE in production dependency (e.g., log4shell)
- Unencrypted PII being transmitted over HTTP
- Memory leak causing production crashes
---
### High (P1) - Fix This Sprint
**Definition**: Significant issues that impact quality, security, or user experience but don't pose immediate production risk.
**Characteristics**:
- Medium-severity security vulnerabilities (CVE scores 7.0-8.9)
- Critical path missing test coverage
- Performance bottlenecks affecting user experience
- WCAG AA accessibility violations
- TypeScript strict mode violations in critical code
- High cyclomatic complexity (> 20) in business logic
- Missing error handling in critical operations
**Timeline**: Fix within current sprint (2 weeks)
**Effort vs Impact**: Prioritize high-impact, low-effort fixes first
**Deployment**: Include in next regular release
**Examples**:
- Payment processing code with 0% test coverage
- Page load time > 3 seconds
- Form inaccessible to screen readers
- 500+ line function with complexity of 45
- Unhandled promise rejections in checkout flow
- Dependency with moderate CVE (6.5 score)
---
### Medium (P2) - Fix Next Quarter
**Definition**: Issues that reduce code maintainability, developer productivity, or future scalability but don't immediately impact users.
**Characteristics**:
- Code smells and duplication
- Low-severity security issues (CVE scores 4.0-6.9)
- Test coverage between 60-80%
- Documentation gaps
- Minor performance optimizations
- Outdated dependencies (no CVEs)
- Moderate complexity (10-20)
- Technical debt accumulation
**Timeline**: Fix within next quarter (3 months)
**Effort vs Impact**: Plan during sprint planning, batch similar fixes
**Deployment**: Include in planned refactoring releases
**Examples**:
- 15% code duplication across services
- Missing JSDoc for public API
- God class with 25 public methods
- Build time of 5 minutes
- Test suite takes 10 minutes to run
- Dependency 2 major versions behind (stable)
---
### Low (P3) - Backlog
**Definition**: Minor improvements, stylistic issues, or optimizations that have minimal impact on functionality or quality.
**Characteristics**:
- Stylistic inconsistencies
- Minor code smells
- Documentation improvements
- Nice-to-have features
- Long-term architectural improvements
- Code coverage 80-90% (already meets minimum)
- Low complexity optimizations (< 10)
**Timeline**: Address when time permits or during dedicated tech debt sprints
**Effort vs Impact**: Only fix if effort is minimal or during slow periods
**Deployment**: Bundle with feature releases
**Examples**:
- Inconsistent variable naming (camelCase vs snake_case)
- Missing comments on simple functions
- Single-character variable names in non-critical code
- Console.log in development-only code
- README could be more detailed
- Opportunity to refactor small utility function
---
## Scoring Rubric
Use this matrix to assign severity levels:
| Impact | Effort Low | Effort Medium | Effort High |
|--------|------------|---------------|-------------|
| **Critical** | P0 | P0 | P0 |
| **High** | P1 | P1 | P1 |
| **Medium** | P1 | P2 | P2 |
| **Low** | P2 | P3 | P3 |
### Impact Assessment
**Critical Impact**:
- Security breach
- Data loss/corruption
- Production outage
- Legal/compliance violation
**High Impact**:
- User experience degraded
- Performance issues
- Accessibility barriers
- Development velocity reduced significantly
**Medium Impact**:
- Code maintainability reduced
- Technical debt accumulating
- Future changes more difficult
- Developer productivity slightly reduced
**Low Impact**:
- Minimal user/developer effect
- Cosmetic issues
- Future-proofing
- Best practice deviations
### Effort Estimation
**Low Effort**: < 4 hours
- Simple configuration change
- One-line fix
- Update dependency version
**Medium Effort**: 4 hours - 2 days
- Refactor single module
- Add test coverage for feature
- Implement security fix with tests
**High Effort**: > 2 days
- Architectural changes
- Major refactoring
- Migration to new framework/library
- Comprehensive security overhaul
---
## Category-Specific Severity Guidelines
### Security Issues
| Finding | Severity |
|---------|----------|
| Known exploit in production | Critical |
| Secrets in code | Critical |
| Authentication bypass | Critical |
| SQL injection | Critical |
| XSS vulnerability | High |
| CSRF vulnerability | High |
| Outdated dependency (CVE 7-9) | High |
| Outdated dependency (CVE 4-7) | Medium |
| Missing security headers | Medium |
| Weak encryption algorithm | Medium |
### Code Quality Issues
| Finding | Severity |
|---------|----------|
| Complexity > 50 | High |
| Complexity 20-50 | Medium |
| Complexity 10-20 | Low |
| Duplication > 20% | High |
| Duplication 10-20% | Medium |
| Duplication 5-10% | Low |
| File > 1000 LOC | Medium |
| File > 500 LOC | Low |
| Dead code (unused for > 6 months) | Low |
### Test Coverage Issues
| Finding | Severity |
|---------|----------|
| Critical path untested | High |
| Coverage < 50% | High |
| Coverage 50-80% | Medium |
| Coverage 80-90% | Low |
| Flaky tests | Medium |
| Slow tests (> 10 min) | Medium |
| No E2E tests | Medium |
| Missing edge case tests | Low |
### Performance Issues
| Finding | Severity |
|---------|----------|
| Page load > 5s | High |
| Page load 3-5s | Medium |
| Memory leak | High |
| O(n²) in hot path | High |
| Bundle size > 5MB | Medium |
| Build time > 10 min | Medium |
| Unoptimized images | Low |
### Accessibility Issues
| Finding | Severity |
|---------|----------|
| No keyboard navigation | High |
| Contrast ratio < 3:1 | High |
| Missing ARIA labels | High |
| Heading hierarchy broken | Medium |
| Missing alt text | Medium |
| Focus indicators absent | Medium |
| Color-only information | Low |
---
## Remediation Priority Formula
Use this formula to calculate a priority score:
```
Priority Score = (Impact × 10) + (Frequency × 5) - (Effort × 2)
```
Where:
- **Impact**: 1-10 (10 = critical)
- **Frequency**: 1-10 (10 = affects all users/code)
- **Effort**: 1-10 (10 = requires months of work)
Sort issues by priority score (highest first) to create your remediation plan.
### Example Calculations
**Example 1**: SQL Injection in Login
- Impact: 10 (critical security issue)
- Frequency: 10 (affects all users)
- Effort: 3 (straightforward fix with prepared statements)
- Score: (10 × 10) + (10 × 5) - (3 × 2) = **144****P0**
**Example 2**: Missing Tests on Helper Utility
- Impact: 4 (low risk, helper function)
- Frequency: 2 (rarely used)
- Effort: 2 (quick to test)
- Score: (4 × 10) + (2 × 5) - (2 × 2) = **46****P3**
**Example 3**: Performance Bottleneck in Search
- Impact: 7 (user experience degraded)
- Frequency: 8 (common feature)
- Effort: 6 (requires algorithm optimization)
- Score: (7 × 10) + (8 × 5) - (6 × 2) = **98****P1**
---
## Escalation Criteria
Escalate to leadership when:
- 5+ Critical issues found
- 10+ High issues in production code
- SQALE rating of D or E
- Security issues require disclosure
- Compliance violations detected
- Technical debt > 50% of development capacity
---
## Review Cycles
Recommended audit frequency based on project type:
| Project Type | Audit Frequency | Focus Areas |
|-------------|-----------------|-------------|
| Production SaaS | Monthly | Security, Performance, Uptime |
| Enterprise Software | Quarterly | Compliance, Security, Quality |
| Internal Tools | Semi-annually | Technical Debt, Maintainability |
| Open Source | Per major release | Security, Documentation, API stability |
| Startup MVP | Before funding rounds | Security, Scalability, Technical Debt |
---
**Last Updated**: 2024-25 Standards
**Version**: 1.0