Analyze the provided class for code smells and create a refactoring plan.
Usage
code
/smells $ARGUMENTS
Analysis Output
📊 Code Smell Analysis for: $ARGUMENTS
🔍 Top 5 Code Smells Detected:
- •
Poor Naming Conventions
- •Generic variable names (data, temp, obj, result)
- •Non-descriptive method names (process, handle, do)
- •Inconsistent naming patterns
- •Fix: Rename to domain-specific terms that describe purpose
- •
Long Method
- •Methods exceeding 20-30 lines
- •Multiple responsibilities in single method
- •Difficult to test and understand
- •Fix: Extract smaller, focused methods with single responsibilities
- •
Large Class (God Object)
- •Too many responsibilities in one class
- •High number of instance variables
- •Violates Single Responsibility Principle
- •Fix: Split into smaller, cohesive classes
- •
Duplicate Code
- •Copy-pasted logic across methods
- •Similar patterns with slight variations
- •Fix: Extract common logic into reusable methods
- •
Feature Envy
- •Methods that use data from other classes more than their own
- •Excessive getter/setter calls to another object
- •Fix: Move method to the class it's most interested in
📋 Refactoring Plan
Phase 1: Name Refactoring (No Behavior Changes)
- • Identify all poorly named variables, methods, and fields
- • Map current names to descriptive alternatives
- • Ensure naming follows language conventions:
- •Java/JavaScript: camelCase for methods/variables, PascalCase for classes
- •Python: snake_case for functions/variables, PascalCase for classes
- • Update all references throughout codebase
- • Run tests to ensure no behavioral changes
Phase 2: Structure Improvements
- • Address long methods by identifying extraction points
- • Plan class decomposition for God Objects
- • Identify duplicate code patterns for consolidation
- • Map feature envy methods to their proper homes
Phase 3: Implementation Order
- •Start with naming - Low risk, high readability impact
- •Extract methods - Reduce complexity incrementally
- •Remove duplication - Create reusable components
- •Reorganize classes - Move methods to appropriate classes
- •Split large classes - Final structural improvements
🎯 Success Criteria
- •All tests pass after each refactoring step
- •Code coverage remains the same or improves
- •Cyclomatic complexity reduced
- •Improved readability scores
- •No behavioral changes introduced
⚠️ Risk Mitigation
- •Create comprehensive test suite before refactoring
- •Use version control for easy rollback
- •Refactor in small, reviewable commits
- •Document all name mappings
- •Review with team before major structural changes
Example Name Refactorings
code
// Before getData() → fetchCustomerPurchaseHistory() processItems() → calculateMonthlyRevenue() userObj → customerProfile temp → filteredTransactions data → invoiceRecords doStuff() → validatePaymentCredentials()
Next Steps
- •Review the identified code smells
- •Prioritize based on impact and risk
- •Begin with Phase 1 naming refactors
- •Proceed incrementally through the plan
- •Measure improvements after each phase