Computational reproducibility should be trivial but it is not. Though code and data are increasingly shared, the community has realised that many other factors affect reproducibility, a typical example of which is the difficulty in reconstructing a work’s original library dependencies and software versions. The required level of detail documenting such aspects scales with the complexity of the problem, making the creation of user-friendly solutions very challenging.
Tyler Whitehouse, Dav Clark and Emmy Tsang
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Rebooting reproducibility: From re-execution to replication
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Tyler Whitehouse, Dav Clark and Emmy Tsang on Jul 12, 2019 12:26:00 PM
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Topics: Reproducibility, Data Science