PROJECT_STRUCTURE.md

# Linux Kernel Anti-Pattern Detector - Project Structure

## Overview

This project is organized into a clear, maintainable structure that separates concerns and makes it easy to find, modify, and extend functionality.

## Directory Structure

```

Linux Kernel Anti-Pattern Detector/

├── 📁 data/                          # Analysis data and results

│   ├── results.json                  # Main analysis results

│   ├── concurrency_analysis_report.json

│   └── kernel_analysis.log          # Analysis logs

│

├── 📁 docs/                          # Documentation

│   ├── kernel-analysis-guide.md     # Kernel analysis documentation

│   └── [additional documentation]

│

├── 📁 examples/                      # Example code and usage

│   └── [example files]

│

├── 📁 reports/                       # Generated analysis reports

│   ├── Linux_Kernel_Anti_Pattern_Analysis_Report.md

│   ├── Executive_Summary.md

│   └── 📁 concurrency/              # Concurrency-specific reports

│       └── Concurrency_Analysis_Report.md

│

├── 📁 scripts/                       # Analysis and utility scripts

│   ├── 📁 analysis/                 # Core analysis scripts

│   │   ├── concurrency_analyzer.py  # Concurrency issue analyzer

│   │   └── analyze_kernel_structure.py

│   ├── 📁 reporting/                # Report generation scripts

│   │   └── view_results.py         # Results viewer

│   └── 📁 utils/                    # Utility scripts

│       └── quick_summary.py        # Quick summary generator

│

├── 📁 src/                          # Source code (main project)

│   ├── __init__.py

│   ├── 📁 detectors/               # Anti-pattern detection modules

│   ├── 📁 rules/                   # Detection rules and patterns

│   └── 📁 utils/                   # Utility functions

│

├── 📁 tests/                        # Test files

│   └── [test files]

│

├── 📁 tools/                        # Analysis tools and detectors

│   ├── 📁 detectors/               # Main detection tools

│   │   ├── detector.py             # Main anti-pattern detector

│   │   └── config.yaml             # Detection configuration

│   ├── 📁 visualizers/             # Data visualization tools

│   └── 📁 exporters/               # Data export tools

│

├── 📁 linux/                        # Linux kernel source (cloned)

│   └── [kernel source files]

│

├── 📄 README.md                     # Main project documentation

├── 📄 requirements.txt              # Main project dependencies

├── 📄 requirements-kernel-analysis.txt

├── 📄 requirements-simple.txt

├── 📄 .gitignore                    # Git ignore rules

└── 📄 PROJECT_STRUCTURE.md          # This file

```

## Directory Descriptions

### 📁 data/
Contains all analysis results, logs, and generated data files.
- **results.json**: Complete analysis results from the main detector
- **concurrency_analysis_report.json**: Detailed concurrency analysis
- **kernel_analysis.log**: Analysis execution logs



### 📁 docs/

Project documentation and guides.

- **kernel-analysis-guide.md**: Comprehensive guide for kernel analysis

- Additional documentation for specific features



### 📁 examples/

Example code, usage patterns, and sample data.

- Example kernel modules for testing

- Sample configuration files

- Usage examples



### 📁 reports/

Generated analysis reports in various formats.

- **Linux_Kernel_Anti_Pattern_Analysis_Report.md**: Complete technical report
- **Executive_Summary.md**: High-level summary for stakeholders

- **concurrency/**: Specialized reports for specific issue types



### 📁 scripts/

Analysis and utility scripts organized by function.



#### 📁 analysis/

Core analysis scripts for different types of anti-patterns.

- **concurrency_analyzer.py**: Specialized concurrency issue analysis
- **analyze_kernel_structure.py**: Kernel structure analysis

#### 📁 reporting/
Scripts for generating and viewing reports.
- **view_results.py**: Interactive results viewer and reporter



#### 📁 utils/

Utility scripts for common tasks.

- **quick_summary.py**: Quick summary generation

### 📁 src/
Main project source code (core framework).
- **detectors/**: Anti-pattern detection modules
- **rules/**: Detection rules and pattern definitions
- **utils/**: Utility functions and helpers

### 📁 tests/
Test files and test data.
- Unit tests for detection modules
- Integration tests
- Test data and fixtures

### 📁 tools/
Analysis tools and detectors.

#### 📁 detectors/
Main detection tools and configurations.
- **detector.py**: Primary anti-pattern detection engine
- **config.yaml**: Detection configuration and rules

#### 📁 visualizers/
Data visualization and charting tools.
- Interactive dashboards
- Chart generators
- Data plotting utilities

#### 📁 exporters/
Data export and format conversion tools.
- JSON to other formats
- Report generation
- Data transformation

### 📁 linux/
Cloned Linux kernel source code for analysis.
- Complete kernel source tree
- Used for code snippet extraction
- Reference for pattern validation

## File Descriptions

### Core Files
- **README.md**: Main project documentation and getting started guide
- **requirements.txt**: Main project Python dependencies
- **requirements-kernel-analysis.txt**: Kernel analysis specific dependencies
- **requirements-simple.txt**: Simplified dependencies for basic usage
- **.gitignore**: Git ignore patterns for the project

### Configuration Files
- **tools/detectors/config.yaml**: Main detection configuration
- **tools/detectors/detector.py**: Primary detection engine

## Usage Patterns

### Running Analysis
```bash

# Main analysis

python tools/detectors/detector.py --clone --output data/results.json



# Concurrency analysis

python scripts/analysis/concurrency_analyzer.py



# View results

python scripts/reporting/view_results.py data/results.json

```

### Generating Reports
```bash

# Quick summary

python scripts/utils/quick_summary.py



# Interactive viewer

python scripts/reporting/view_results.py --interactive

```

### Development
```bash

# Install dependencies

pip install -r requirements.txt

pip install -r requirements-kernel-analysis.txt



# Run tests

python -m pytest tests/



# Development setup

conda activate linux-kernel-anti-pattern-detector

```

## Best Practices

### Adding New Features
1. **Analysis scripts**: Add to `scripts/analysis/`
2. **Reporting tools**: Add to `scripts/reporting/`
3. **Utilities**: Add to `scripts/utils/`
4. **Core detection**: Add to `src/detectors/`
5. **Configuration**: Update `tools/detectors/config.yaml`

### File Naming Conventions
- **Python files**: snake_case (e.g., `concurrency_analyzer.py`)
- **Configuration files**: kebab-case (e.g., `kernel-analysis-guide.md`)
- **Reports**: Pascal_Case (e.g., `Concurrency_Analysis_Report.md`)



### Data Management

- **Raw data**: Store in `data/`

- **Processed results**: Store in `data/`

- **Reports**: Generate in `reports/`

- **Logs**: Store in `data/`



## Maintenance



### Regular Tasks

1. **Update dependencies**: Review and update requirements files

2. **Clean data**: Remove old analysis results periodically

3. **Update kernel**: Refresh the Linux kernel source

4. **Backup reports**: Archive important analysis reports



### Version Control

- **Track**: Source code, configuration, documentation

- **Ignore**: Analysis results, logs, kernel source (large files)

- **Archive**: Important reports and findings



---



*This structure is designed to be scalable, maintainable, and easy to navigate. Each directory has a clear purpose and the organization supports both development and research workflows.*