An interactive article exploring uncertainty in project timelines using Monte Carlo simulations. The focus is on understanding ranges, confidence levels, and likely outcomes.
Read the interactive article on Streamlit: View on Streamlit
- Monte Carlo simulation of project paths
- Visualizing likely project durations and confidence intervals
If you want to run the project locally, run:
uv run streamlit run src/backlog_dynamics_modeling/main.pyCreated using Streamlit.
Inspired by concepts from Monte Carlo methods, PERT, 3-point estimation, John Hull's Options, Futures, and Other Derivatives, Steve McConnell's Software Estimation.
© 2026 Ihor H.
- Code: MIT License
- Article / Text: Creative Commons Attribution 4.0 International (CC BY 4.0)
For educational purposes only. This content is not financial or legal advice.