Beyond computational reproducibility, let us aim for reusability
Abstract
Scientific progress calls for reproducing results. Due to limited resources, this is difficult even in computational sciences. Yet, reproducibility is only a means to an end. It is not enough by itself to enable new scientific results. Rather, new discoveries must build on reuse and modification of the state of the art. As time goes, this state of the art must be consolidated in software libraries, just as scientific knowledge as been consolidated on bookshelves of brick-and-mortar libraries.
Origin : Files produced by the author(s)