Code Complexity Tool

Analyzes source code to quantify complexity, flags hotspots, and helps teams improve maintainability and delivery speed across large codebases.

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Om dette verktøyet

The tool analyzes source code to quantify complexity and related quality metrics across a project. It uses language-specific parsers to build a control-flow graph for each function and computes per-function and per-file metrics such as cyclomatic complexity, cognitive complexity, and Halstead measures, along with a maintainability index.
Core features include per-entity metrics, trend-friendly reporting, and configurable thresholds; advanced capabilities include multi-repo analysis, custom metric definitions, and CI-friendly exports. Outputs can be consumed by dashboards or pipelines in JSON or CSV formats.
Impact: teams can identify hotspots, prioritize refactoring, and enforce quality gates. The tool supports scalable analysis for large codebases and supports multiple programming languages via pluggable backends. It provides objective signals for architecture decisions and technical debt reduction.
Unique value: comprehensive, multi-metric view of code health, automation-ready, monorepo aware, and language-extensible; it complements code reviews with data-driven insights.

Hvordan bruke

  1. Provide inputs: repository path or code snippet, target language(s), and optional include/exclude patterns.
  2. Configure thresholds for complexity and hotspot scoring (or use defaults).
  3. Run analysis to generate per-file and project-wide metrics.
  4. Review results to identify hotspots and refactoring opportunities.
  5. Export data (JSON/CSV) and feed into CI or dashboards.
How to use code complexity tool

Frequently Asked Questions

Finn raske svar

What is measured?
The tool computes cyclomatic complexity, cognitive complexity, Halstead metrics, maintainability, and hotspot scoring for each function and file, enabling precise identification of difficult or high-risk areas.
Which languages are supported?
It uses language parsers for Java, JavaScript/TypeScript, Python, C/C++, C#, Go, and other major languages; additional languages can be added via plugin backends and community parsers.
Can it integrate with CI?
Yes, it is designed for automation. It can run in pipelines, output structured JSON/CSV data, and compare results with prior runs to gate changes based on complexity and hotspots.
What formats are outputs?
Outputs include per-entity metrics in JSON or CSV, plus project-wide summaries and hotspot lists, suitable for dashboards, reports, and automated quality gates.

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