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cognitive/docs/DOCUMENTATION_ROADMAP.md
Daniel Ari Friedman 6caa1a7cb1 Update
2025-02-07 08:16:25 -08:00

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Documentation Roadmap

title: Documentation Roadmap type: roadmap status: stable created: 2024-02-06 tags:

Overview

This roadmap outlines the strategic direction for maintaining and enhancing the Cognitive Modeling documentation framework. It provides a structured approach to documentation development, maintenance, and evolution.

Current Documentation Structure

Core Documentation

docs/
├── guides/           # Implementation guides and tutorials
├── concepts/         # Core theoretical concepts
├── api/             # API reference documentation
├── templates/        # Documentation templates
├── research/        # Research documentation
├── tools/           # Development tools documentation
└── examples/        # Usage examples

Documentation Standards

1. File Organization

2. Content Management

3. Quality Assurance

Maintenance Schedule

Daily Tasks

  • Monitor and fix broken links
  • Update documentation for new code changes
  • Review and address documentation issues

Weekly Tasks

  • Validate documentation completeness
  • Update examples with new use cases
  • Review and enhance API documentation

Monthly Tasks

  • Comprehensive documentation review
  • Update roadmap and priorities
  • Enhance machine-readable features
  • Integrate new documentation tools

Enhancement Priorities

1. Content Quality

  • Enhance semantic relationships between documents
  • Improve code example coverage
  • Expand theoretical foundations documentation
  • Add more interactive examples

2. Technical Infrastructure

  • Implement automated documentation testing
  • Enhance documentation generation tools
  • Improve search and discovery features
  • Develop documentation analytics

3. User Experience

  • Create interactive documentation guides
  • Enhance navigation and cross-referencing
  • Improve documentation accessibility
  • Add more visual documentation elements

Implementation Timeline

Q1 2024

  1. Documentation Framework Enhancement

    • Improve semantic linking
    • Enhance validation tools
    • Update style guidelines

  2. Content Development

    • Expand core concepts
    • Add advanced tutorials
    • Create video documentation

Q2 2024

  1. Technical Infrastructure

    • Automated testing
    • Enhanced search
    • Analytics dashboard

  2. User Experience

    • Interactive guides
    • Visual documentation
    • Accessibility improvements

Validation Framework

1. Documentation Quality

quality_metrics = {
    "completeness": {
        "required_sections": 1.0,    # All required sections present
        "optional_sections": 0.8,    # 80% optional sections covered
        "code_examples": 0.9         # 90% code example coverage
    },
    "accuracy": {
        "technical_accuracy": 1.0,   # Technical content accuracy
        "code_correctness": 1.0,     # Code example correctness
        "link_validity": 0.95        # Link integrity
    },
    "readability": {
        "clarity": 0.9,             # Content clarity
        "structure": 0.95,          # Document structure
        "formatting": 1.0           # Formatting consistency
    }
}

2. Machine Readability

machine_metrics = {
    "semantic_markup": {
        "metadata_completeness": 1.0,
        "relationship_clarity": 0.9,
        "processing_hooks": 0.85
    },
    "ai_processing": {
        "parse_success": 0.95,
        "context_preservation": 0.9,
        "knowledge_integration": 0.85
    }
}

Integration Points

1. Development Workflow

  • Integration with code review process
  • Documentation-driven development
  • Automated documentation updates

2. Research Integration

  • Research paper documentation
  • Experiment documentation
  • Results documentation

3. Educational Resources

  • Tutorial development
  • Learning path creation
  • Interactive examples

Best Practices

1. Documentation Development

  • Start with concept documentation
  • Follow with implementation guides
  • Include practical examples
  • Add validation tests

2. Maintenance

  • Regular review cycles
  • Version control integration
  • Automated validation
  • User feedback integration

3. Evolution

  • Continuous improvement
  • Technology adaptation
  • User needs assessment
  • Documentation metrics

Success Metrics

1. Documentation Coverage

  • 100% API documentation
  • 90% code example coverage
  • 95% concept documentation
  • 85% advanced topics

2. Quality Metrics

  • 95% documentation accuracy
  • 90% user satisfaction
  • 85% automated test coverage
  • 80% search effectiveness

3. Usage Metrics

  • Documentation access rates
  • Search success rates
  • User engagement levels
  • Feedback incorporation

Related Documentation

References