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Reproducibility is a Process, Not an Achievement: The Replicability of IR Reproducibility Experiments

This paper espouses a view of reproducibility in the computational sciences as a process and not just a point-in-time “achievement”. As a concrete case study, we revisit the Open-Source IR Reproducibility Challenge from 2015 and attempt to replicate those experiments: four years later, are those com...

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Detalles Bibliográficos
Autores principales: Lin, Jimmy, Zhang, Qian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7148033/
http://dx.doi.org/10.1007/978-3-030-45442-5_6
Descripción
Sumario:This paper espouses a view of reproducibility in the computational sciences as a process and not just a point-in-time “achievement”. As a concrete case study, we revisit the Open-Source IR Reproducibility Challenge from 2015 and attempt to replicate those experiments: four years later, are those computational artifacts still functional? Perhaps not surprisingly, we are not able to replicate most of the retrieval runs encapsulated by those artifacts in a modern computational environment. We outline the various idiosyncratic reasons why, distilled into a series of “lessons learned” to help form an emerging set of best practices for the long-term sustainability of reproducibility efforts.