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bertha: Project skeleton for scientific software

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  • Michael Riesch
  • Tien Dat Nguyen
  • Christian Jirauschek

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.

Suggested Citation

  • Michael Riesch & Tien Dat Nguyen & Christian Jirauschek, 2020. "bertha: Project skeleton for scientific software," PLOS ONE, Public Library of Science, vol. 15(3), pages 1-12, March.
  • Handle: RePEc:plo:pone00:0230557
    DOI: 10.1371/journal.pone.0230557
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