Analyze and optimize your code instantly with our complexity analyzer. Uncover issues and boost maintainability with clarity and confidence.
You’re one scan away from cleaner, simpler code.
Code complexity measures how difficult a codebase is to read, test, and maintain. Complex code often results in:
Measures the number of independent paths through a program's source code.
Formula:
CC = E - N + 2PBased on the number of operators and operands in your code.
n1 = distinct operators
n2 = distinct operands
N1 = total operator occurrences
N2 = total operand occurrences
Vocabulary (n) = n1 + n2
Length (N) = N1 + N2
Volume (V) = N * log2(n)
Difficulty (D) = (n1 / 2) * (N2 / n2)
Effort (E) = D * VA composite metric that considers complexity, volume, and code length.
MI = 171 - 5.2 * ln(V) - 0.23 * CC - 16.2 * ln(LOC)A critical method in a financial API reached a complexity score of 36. Refactoring into smaller, focused functions reduced the score to < 10 per method and lowered post-deployment bugs by 40%.
Embedded code with low branching but intense bitwise logic showed high Halstead Effort. Modularizing improved readability and onboarding time by 30%.
Start analyzing your code now to improve quality, reduce bugs, and ship with confidence!
| Metric | Formula | Sample Values |
|---|---|---|
| Cyclomatic Complexity | CC = E - N + 2P | E = 15, N = 12, P = 1 → CC = 5 |
| Halstead Volume | V = N * log2(n) | n = 20, N = 100 → V ≈ 432.2 |
| Halstead Difficulty | D = (n1 / 2) * (N2 / n2) | n1 = 10, N2 = 60, n2 = 8 → D = 37.5 |
| Maintainability Index | MI = 171 - 5.2 * ln(V) - 0.23 * CC - 16.2 * ln(LOC) | V = 432.2, CC = 5, LOC = 200 → MI ≈ 65 |