bertha: Project skeleton for scientific software

Michael Riesch, Tien Dat Nguyen and Christian Jirauschek

PLOS ONE, 2020, vol. 15, issue 3, 1-12

Abstract: Science depends heavily on reliable and easy-to-use software packages, such as mathematical libraries or data analysis tools. Developing such packages requires a lot of effort, which is too often avoided due to the lack of funding or recognition. In order to reduce the efforts required to create sustainable software packages, we present a project skeleton that ensures the best software engineering practices from the start of a project, or serves as reference for existing projects.

Date: 2020
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0230557

DOI: 10.1371/journal.pone.0230557

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