All notable changes to this project will be documented in this file.
The format is based on Keep a Changelog, and this project adheres to Semantic Versioning. Dates formatted as YYYY-MM-DD as per ISO standard.
Consistent identifier (represents all versions, resolves to latest):
Released to submit as revision 1 based on requests from reviewers at the Journal of Simulation.
- environment file now includes seaborn
- Automated testing now has more tests to increase code coverage to 100%
- Jupyter book updated to reflect revisions including sensitivity analyses.
- A detailed one and two way sensitivity analysis of the stage 1 CCU model (new notebook)
pytestcoverage statistics for LLM generated code.- Add statistical tests comparing Stage 1 and Stage 2 models (paired-t)
- Minor bug in the example script for the running the CCU stage 1 model
- Duplicate/redundant arrival generating method removed from
PatientTypeclass in stage 2 stroke model (not used when running the simulation).
🌱 v0.1.0 
Full research compendium released. This is the version that was originally submitted to the Journal of Simulation.
- Repository essentials: CHANGELOG, CITATION, README,
binder/environment.yml - Full research compendium to accompany: Monks T, Harper A, and Heather A. (2025): Unlocking the Potential of Past Research: Using Generative AI to Reconstruct Healthcare Simulation Models. Preprint
- The compendium contains
- the Python code,
simpymodels, and documentation generated by Perplexity.AI - All prompts from stages 1 and 2 of the study
- the Python code,
- The compendium can be compiled into a JupyterBook website.