- Haiyan Meng presented
- PRUNE: A Preserving Run Environment for Reproducible Computing which describes PRUNE, a workflow system that tracks both data and executions in a way that can be compactly named and shared. This allows one to uniquely identify an execution in a way that others can track the complete provenance, or re-execute it if desired.
Tuesday, October 25, 2016
Reproducibility Papers at eScience 2016
CCL students presented two papers at the IEEE 12th International Conference on eScience on the theme of reproducibility in computational science: