Computational reproducibility: state-of-the-art, challenges, and database research opportunities
SIGMOD '12 Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data
VisTrails provenance traces for benchmarking
Proceedings of the Joint EDBT/ICDT 2013 Workshops
Packing experiments for sharing and publication
Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data
ReproZip: using provenance to support computational reproducibility
TaPP'13 Proceedings of the 5th USENIX conference on Theory and Practice of Provenance
ReproZip: using provenance to support computational reproducibility
Proceedings of the 5th USENIX Workshop on the Theory and Practice of Provenance
BNCOD'13 Proceedings of the 29th British National conference on Big Data
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The VisTrails system supports the creation of reproducible experiments. VisTrails integrates data acquisition, derivation, analysis, and visualization as executable components throughout the scientific exploration process, and through systematic provenance capture, it makes it easier to generate and share reproducible results. Using VisTrails, authors can link results to their provenance, reviewers can assess the experiment's validity, and readers can repeat and utilize the computations.