Standardization of Post-Publication Code Verification by Journals is Possible with the Support of the Community
By: Susana Lopez-Moreno, Eric Dolores-Cuenca, Sangil Kim
Potential Business Impact:
Lets scientists check if computer learning works.
Reproducibility remains a challenge in machine learning research. While code and data availability requirements have become increasingly common, post-publication verification in journals is still limited and unformalized. This position paper argues that it is plausible for journals and conference proceedings to implement post-publication verification. We propose a modification to ACM pre-publication verification badges that allows independent researchers to submit post-publication code replications to the journal, leading to visible verification badges included in the article metadata. Each article may earn up to two badges, each linked to verified code in its corresponding public repository. We describe the motivation, related initiatives, a formal framework, the potential impact, possible limitations, and alternative views.
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