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Monte Carlo simulation to forecast number of features a team can complete given previous daily throughput, feature priority, number of stories and number of days to forecast.

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Multi-Feature Forecaster

A Monte Carlo simulation tool for forecasting feature completion in software projects.

How to use

You need python on your computer. Google it.

Once you have python, follow these steps:

  1. Create a folder on your computer. Then open a command prompt or terminal at that folder.
  2. Clone the repository and navigate to its root directory: 'git clone https://github.com/adnanbwp/multifeatureforecaster.git'
  3. Setup a virtual environment by running 'python -m venv venv' in a terminal or command prompt.
  4. Activate virtual environment by running 'source venv/bin/activate' for MacOS or 'venv\Scripts\activate' for Windows.
  5. Install the required dependencies by running pip install -r requirements.txt.
  6. Run the simulation by executing python mcsforecaster.py.
  7. Only change the input variables in the main() function under input parameters section of the code.

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Monte Carlo simulation to forecast number of features a team can complete given previous daily throughput, feature priority, number of stories and number of days to forecast.

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