Sciweavers

Share
SIGMOD
2012
ACM

Computational reproducibility: state-of-the-art, challenges, and database research opportunities

7 years 12 months ago
Computational reproducibility: state-of-the-art, challenges, and database research opportunities
Computational experiments have become an integral part of the scientific method, but reproducing, archiving, and querying them is still a challenge. The first barrier to a wider adoption is the fact that it is hard both for authors to derive a compendium that encapsulates all the components needed to reproduce a result and for reviewers to verify the results. In this tutorial, we will present a series of guidelines and, through hands-on examples, review existing tools to help authors create of reproducible results. We will also outline open problems and new directions for database-related research having to do with querying computational experiments. Categories and Subject Descriptors D.0 [Software]: General; H.4 [Information Systems Applications]: Miscellaneous; H.2 [Database Management]: Database Applications General Terms Documentation, experimentation Keywords Computational reproducibily, provenance
Juliana Freire, Philippe Bonnet, Dennis Shasha
Added 27 Sep 2012
Updated 27 Sep 2012
Type Journal
Year 2012
Where SIGMOD
Authors Juliana Freire, Philippe Bonnet, Dennis Shasha
Comments (0)
books