Name
Abstract | ||
|---|---|---|
Reproducibility is a core component of the scientific process. Revisiting and reusing past results allow science to move forward - "standing on the shoulders of giants", as Newton once said. An impediment to the adoption of computational reproducibility is that authors find it difficult to generate a compendium that encompasses all the required components to correctly reproduce their experiments. Even when a compendium is available, reviewers and readers may have difficulties in verifying the results on platforms different from the ones where the experiments were originally run. As a step towards simplifying the process of creating reproducible experiments, we have developed ReproZip, a tool that automatically captures the provenance of experiments and packs all the necessary files, library dependencies and variables to reproduce the results. Reviewers can then unpack and run the experiments without having to install any additional software. We will demonstrate real use cases for ReproZip, how packages are created, and how reviewers can validate and explore experiments. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1145/2463676.2465269 | SIGMOD Conference |
Keywords | Field | DocType |
reproducible experiment,core component,additional software,past result,necessary file,required component,real use case,library dependency,computational reproducibility,scientific process | Data science,Data mining,Compendium,Use case,Reuse,Computer science,Software,Database,Scientific method | Conference |
Citations | PageRank | References |
5 | 0.62 | 7 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fernando Seabra Chirigati | 1 | 205 | 16.38 |
| Dennis Shasha | 2 | 6661 | 1466.04 |
| Juliana Freire | 3 | 3956 | 270.89 |