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.
Cite
CITATION STYLE
Riesch, M., Nguyen, T. D., & Jirauschek, C. (2020). Bertha: Project skeleton for scientific software. PLoS ONE, 15(3). https://doi.org/10.1371/journal.pone.0230557
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.