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Code Complexity Analyzer

Analyze JavaScript/TypeScript code complexity with advanced metrics including cyclomatic complexity, cognitive complexity, Halstead metrics, and maintainability index

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Professional Code Complexity Analyzer

Code to Analyze

class DataProcessor {
  constructor(config) {
    this.config = config || {};
    this.cache = new Map();
    this.processed = 0;
  }
  
  async processData(data) {
    if (!data || !Array.isArray(data)) {
      throw new Error("Invalid data format");
    }
    
    const results = [];
    
    for (const item of data) {
      try {
        if (this.cache.has(item.id)) {
          results.push(this.cache.get(item.id));
          continue;
        }
        
        const processed = await this.processItem(item);
        
        if (processed && processed.valid) {
          this.cache.set(item.id, processed);
          results.push(processed);
          this.processed++;
        }
      } catch (error) {
        console.error(`Error processing item ${item.id}:`, error);
        if (this.config.stopOnError) {
          throw error;
        }
      }
    }
    
    return results;
  }
  
  async processItem(item) {
    // Complex processing logic with multiple conditions
    if (item.type === 'premium') {
      if (item.subscription && item.subscription.active) {
        if (item.subscription.tier === 'gold') {
          return await this.processGoldTier(item);
        } else if (item.subscription.tier === 'silver') {
          return await this.processSilverTier(item);
        } else {
          return await this.processBasicTier(item);
        }
      } else {
        return this.processExpired(item);
      }
    } else if (item.type === 'standard') {
      return await this.processStandard(item);
    } else {
      return this.processDefault(item);
    }
  }
}

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Max Cognitive

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Frequently Asked Questions

Complete Guide to Code Complexity Analysis

1. What is Code Complexity?
2. Cyclomatic Complexity
3. Cognitive Complexity
4. Halstead Metrics
5. Maintainability Index
6. Best Practices
7. Industry Tools

What is Code Complexity?

Code complexity refers to how difficult it is to understand, maintain, and modify a piece of software. High complexity often leads to more bugs, longer development time, and increased maintenance costs. Modern software teams use automated tools to measure complexity and maintain code quality standards.

There are several well-established metrics for measuring code complexity, each focusing on different aspects of code quality and maintainability.

Cyclomatic Complexity (McCabe)

Developed by Thomas McCabe in 1976, cyclomatic complexity measures the number of linearly independent paths through a program's source code. It's calculated by analyzing the control flow graph of the code.

Complexity Thresholds:

1-10: Simple, low risk
11-20: Moderate complexity
21-50: High complexity, consider refactoring
50+: Very high risk, definitely refactor

Cognitive Complexity

Introduced by SonarSource, cognitive complexity focuses on how hard code is for humans to understand. Unlike cyclomatic complexity, it considers nesting levels and gives more weight to deeply nested structures.

Cognitive complexity better reflects the mental burden of understanding code, making it particularly valuable for code reviews and refactoring decisions.

Halstead Metrics

Developed by Maurice Halstead in 1977, these metrics analyze code vocabulary and structure. They calculate:

Volume: How much information the code contains
Difficulty: How hard the code is to write or understand
Effort: Mental effort required to develop the code
Time: Estimated development time
Bugs: Predicted number of bugs

Maintainability Index

The Maintainability Index combines multiple metrics into a single score (0-100) that indicates how maintainable code is. Scores above 85 indicate good maintainability, while scores below 20 suggest immediate refactoring is needed.

This composite metric is widely used in enterprise environments to track code quality over time and make informed decisions about technical debt.

Best Practices for Managing Complexity

Keep functions small and focused (single responsibility principle)
Limit nesting depth to 3-4 levels maximum
Extract complex conditions into well-named variables or functions
Use early returns to reduce nesting
Break down large classes and modules
Regular code reviews with complexity metrics
Automated complexity checking in CI/CD pipelines

Industry Tools and Integration

Modern development teams integrate complexity analysis into their workflow using tools like:

SonarQube/SonarCloud for continuous code quality
ESLint with complexity rules for JavaScript/TypeScript
CodeClimate for automated code review
Visual Studio Code extensions for real-time feedback
GitHub Actions for pull request analysis

Code Complexity Analyzer

Professional Code Complexity Analyzer

How This Tool Works

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Frequently Asked Questions

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Which programming languages are supported?

What are the recommended complexity thresholds?

How do I integrate complexity analysis into my development workflow?

What should I do when complexity metrics are high?

How accurate are the Halstead metrics for bug prediction?

Can I analyze code from different frameworks like React, Angular, or Vue?

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