code-complexity

Codebase intelligence for AI and humans: code health scores, auto-generated docs, git analytics, dead code detection, and architectural decisions via MCP.

An extension for flake8 that validates cognitive functions complexity

🔍 CodeMetrix: A sophisticated code analysis and cost estimation tool that provides advanced metrics, quality assessment, and intelligent reporting for software projects. Features COCOMO II modeling, AST-based analysis, and multi-language support.

Measure the complexity of TodoMVC implementations

A pragmatic tool for measuring whether a codebase is too complex for its task.

This repository allows the replication of our study "Human-Written vs. AI-Generated Code: A Large-Scale Study of Defects, Vulnerabilities, and Complexity" accepted for publication at The 36th IEEE International Symposium on Software Reliability Engineering (ISSRE 2025).

Replication package for "Not All AI Code Is Equal" — a multi-model comparison of defects, vulnerabilities, and complexity in human- and AI-generated code. Runs Pylint/PMD, Semgrep, and Lizard analyses over 500 Python & Java tasks each from Claude Opus 4.8, Gemini 2.5 Pro, and Qwen2.5-Coder vs. human code.

Python package for calculating code complexity metrics of the target source code.

Local-first, multi-language static analysis with inspectable code metrics, offline reports and user-defined policies.

CLI that scans Python and JavaScript/TypeScript codebases for technical debt-complexity, duplication, circular dependencies, and git hotspots.

Collection of tools to benchmark, assess code complexity, and plot results, developed for a P3HPC study.