Code Smell Detector

Identify code smells and anti-patterns to improve code quality and maintainability

Code Input
Code Smell Analysis

Enter code to detect potential code smells

Understanding Code Smells

Code smells are hints that something has gone wrong somewhere in your code. They are symptoms of poor design and programming choices that make code harder to understand, modify, and maintain. While code smells don't prevent the program from functioning, they indicate areas where the code could be improved.

Common Code Smells

1. Long Method/Function

Methods that are too long and try to do too many things. They become difficult to understand, test, and maintain.

  • Detection: Functions with more than 20-30 lines
  • Fix: Break down into smaller, focused methods
2. Large Class

Classes that have grown too large and are trying to do too much, violating the Single Responsibility Principle.

  • Detection: Classes with many methods or properties
  • Fix: Extract functionality into separate classes
3. Duplicate Code

Identical or very similar code in multiple places, making maintenance difficult and error-prone.

  • Detection: Repeated code blocks or similar logic
  • Fix: Extract common code into reusable functions
4. Dead Code

Code that is never executed or variables that are never used, cluttering the codebase unnecessarily.

  • Detection: Unreachable code paths, unused variables
  • Fix: Remove unused code and variables
5. Magic Numbers/Strings

Hardcoded values without explanation that make code difficult to understand and maintain.

  • Detection: Unexplained numeric or string literals
  • Fix: Replace with named constants
6. God Object

Objects that know too much or do too much, centralizing too much functionality.

  • Detection: Classes with many dependencies or responsibilities
  • Fix: Distribute responsibilities among multiple classes

Benefits of Code Smell Detection

  • Improved Maintainability: Cleaner code is easier to modify and extend
  • Better Readability: Code becomes more understandable for team members
  • Reduced Bugs: Well-structured code is less prone to errors
  • Enhanced Testing: Smaller, focused methods are easier to test
  • Better Performance: Eliminating redundancy can improve performance

Refactoring Strategies

  • Extract Method: Pull out complex logic into separate methods
  • Extract Class: Create new classes for distinct responsibilities
  • Rename Variables: Use meaningful, descriptive names
  • Remove Dead Code: Delete unused code and variables
  • Consolidate Duplicates: Merge similar code into reusable functions
  • Replace Magic Numbers: Use named constants for literal values