This repository contains a baseball simulation project that uses real player, roster, and schedule data from Baseball-Reference.com. The project is organized to demonstrate transparent, reproducible, and collaborative AI-assisted development.
Root/
├── functional_code/ # Main simulation code and core functionality
├── prepared_data/ # Cleaned and processed data ready for simulation
├── documentation_and_project_management_artifacts/
│ ├── Functional_Specs # User stories, requirements, and acceptance criteria
│ ├── Work_Breakdown_Structure # Breakdown of major tasks and subtasks
│ ├── Product_Backlog # Prioritized list of features, bugs, and tasks
│ ├── Status_Log # Chronological record of progress and decisions
│ ├── Activity_List # Timestamped list of development activities
│ └── Roadmap # High-level timeline of milestones
├── results/ # Simulation outputs and analysis
└── supplementary_code/
└── raw_data_processing/ # Scripts for data cleaning and preparation
This baseball simulation project aims to create a realistic simulation of baseball games using historical data. The project demonstrates best practices in:
- Project organization and documentation
- AI-assisted development
- Data processing and preparation
- Simulation implementation
- Results analysis and visualization
[Instructions for setting up and running the simulation will be added as the project progresses]
This project includes transparent documentation of AI collaboration in the development process. All AI contributions and interactions are documented in the project management artifacts for reproducibility and reflection purposes.
The simulation uses data from Baseball-Reference.com, including:
- Player statistics
- Team rosters
- Game schedules
The project follows a structured approach to development and documentation. All project management artifacts are stored in the documentation_and_project_management_artifacts directory, providing a clear record of the development process and decision-making.