bertha: Project skeleton for scientific software

PLoS One. 2020 Mar 23;15(3):e0230557. doi: 10.1371/journal.pone.0230557. eCollection 2020.

Authors

Michael Riesch¹, Tien Dat Nguyen¹, Christian Jirauschek¹

Affiliation

¹ Department of Electrical and Computer Engineering, Technical University of Munich, Munich, Germany.

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.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Computational Biology
Humans
Internet
Research
Software*

Grants and funding

This work was supported by the German Research Foundation (DFG) and the Technical University of Munich (TUM) in the framework of the Open Access Publishing Program. Furthermore, CJ acknowledges support from DFG within the Heisenberg program (JI 115/4-2). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.