smells

Analyze the provided class for code smells and create a refactoring plan.

Usage

/smells $ARGUMENTS

Analysis Output

📊 Code Smell Analysis for: $ARGUMENTS

🔍 Top 5 Code Smells Detected:

1. 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

1. 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

1. 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

1. Duplicate Code

- Copy-pasted logic across methods - Similar patterns with slight variations - Fix: Extract common logic into reusable methods

1. 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

1. Start with naming - Low risk, high readability impact
2. Extract methods - Reduce complexity incrementally
3. Remove duplication - Create reusable components
4. Reorganize classes - Move methods to appropriate classes
5. 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

// Before
getData() → fetchCustomerPurchaseHistory()
processItems() → calculateMonthlyRevenue()
userObj → customerProfile
temp → filteredTransactions
data → invoiceRecords
doStuff() → validatePaymentCredentials()

Next Steps

1. Review the identified code smells
2. Prioritize based on impact and risk
3. Begin with Phase 1 naming refactors
4. Proceed incrementally through the plan
5. Measure improvements after each phase