Code Graph Studio

Generate code graphs from code snippets to analyze structure, dependencies, and complexity for developers, software architects, and QA engineers.

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About This Tool

Code Graph Studio creates graph representations from code snippets. It identifies functions, modules, and their relationships to build graphs such as call graphs, dependency graphs, and control-flow graphs. The tool operates by parsing input code with language-specific grammars, constructing a representation of code elements, then mapping interactions as edges. It supports language families like C/C++, Java, and Python, and allows users to select graph type and optional filters. Conceptually, nodes represent code entities and edges denote calls, imports, or control flow transitions. The system computes basic metrics and can export results in JSON, CSV, or DOT formats for external visualization. This provides a foundation for impact analysis, architectural review, and risk assessment during development and maintenance. The unique value lies in integrating multiple graph types from a single snippet, preserving semantic relationships, and enabling immediate export without a separate analysis pipeline. Common use cases include evaluating module coupling, understanding call paths during debugging, and comparing architectural decisions across revisions.

How to Use

  1. Provide inputs: code_snippet, language, and graph_type.
  2. Optionally set max_nodes, include_std_libraries, and include_comments.
  3. Run analysis to produce graph_data and metrics.
  4. Review outputs; export in JSON, CSV, or DOT if needed.
  5. Use the graph for design reviews, onboarding, or architecture evaluation.
How to use code composer studio graph tool

Frequently Asked Questions

Find Quick Answers

What graph types are supported?
Supported graph types include call graphs, dependency graphs, and control-flow graphs. Each graph emphasizes different aspects of code structure: calls, module relationships, or execution paths. The tool normalizes entities across languages to enable consistent analysis.
What languages are supported?
The tool provides language-aware parsing for popular languages such as C, C++, Java, and Python. Additional language grammars can be added, but current parsing accuracy relies on mature AST representations for the chosen language.
Can I export results?
Yes. Output can be exported as JSON for programmatic consumption, CSV for spreadsheets, or DOT for Graphviz-based visualization. Exports include node and edge data plus computed metrics to support downstream analysis.
How are large codebases handled?
Large codebases are pruned by a max_nodes setting and by filtering non-critical entities. If truncation occurs, the tool returns a partial graph with preserved structural relationships and summary metrics to guide further refinement.

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