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SIMPROV: Provenance capturing for simulation studies
Andreas Ruscheinski1, Anja Wolpers1, Philipp Henning1
1Institute for Visual and Analytic Computing, University of Rostock, Rostock, Germany.
Plos One
|July 8, 2025
Summary
This study introduces SIMPROV, a lightweight method for capturing complete simulation provenance. It enhances model interpretability and reusability across diverse software environments.
Area of Science:
- Computational Biology
- Scientific Computing
- Data Management
Background:
- Improving interpretability and reusability of modeling and simulation studies is crucial.
- Provenance, detailing entities, activities, and agents, is key to this goal.
- Existing methods capture only partial provenance due to diverse software systems.
Purpose of the Study:
- To introduce a lightweight method for recording complete simulation provenance.
- To address the challenge of capturing provenance in heterogeneous modeling environments.
- To enhance the interpretability and reusability of simulation studies.
Main Methods:
- Developed a lightweight method to monitor modelers in their work environment.
- Separated concerns between provenance capturers and a provenance builder.
- Created a web interface for enhancing and exploring provenance graphs.
Main Results:
- Successfully recorded complete provenance for simulation studies.
- Demonstrated the practicality of the SIMPROV method.
- Showcased the approach through two cell biological case studies.
Conclusions:
- The SIMPROV method effectively captures comprehensive simulation provenance.
- This approach facilitates enhanced model interpretability and reusability.
- SIMPROV offers a practical solution for managing provenance in complex simulation workflows.
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