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arXiv · 1912.01640

bertha: Project Skeleton for Scientific Software

Michael Riesch·Tien Dat Nguyen·Christian Jirauschek
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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.

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Michael Riesch, Tien Dat Nguyen, Christian Jirauschek. 2020-03-25. bertha: Project Skeleton for Scientific Software. https://doi.org/10.1371/journal.pone.0230557

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