English

bertha: Project Skeleton for Scientific Software

Mathematical Software 2020-03-27 v2

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.

Keywords

Cite

@article{arxiv.1912.01640,
  title  = {bertha: Project Skeleton for Scientific Software},
  author = {Michael Riesch and Tien Dat Nguyen and Christian Jirauschek},
  journal= {arXiv preprint arXiv:1912.01640},
  year   = {2020}
}

Comments

Source code available at https://gitlab.com/cph-tum/bertha

R2 v1 2026-06-23T12:34:51.821Z