Switching Software in Science: Motivations, Challenges, and Solutions

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Abstract

A laboratory's programming language has wide-ranging implications. As demands towards scientific programming change and languages evolve, investigators may look to change their existing software stack. Following up on a recent online debate, we discuss key considerations and challenges in choosing and changing languages and suggest solutions for investigators looking to switch.

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Wessel, J. R., Gorgolewski, K. J., & Bellec, P. (2019, April 1). Switching Software in Science: Motivations, Challenges, and Solutions. Trends in Cognitive Sciences. Elsevier Ltd. https://doi.org/10.1016/j.tics.2019.01.004

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