Work

bertha: Project skeleton for scientific software

Year: 2020

Type: article

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.

Source: PLoS ONE

DOI: 10.1371/journal.pone.0230557

Authors: Michael Riesch, Tien Dat Nguyen, Christian Jirauschek

Institution: Technical University of Munich

Language: English

Topic: Scientific Computing and Data Management

Subfield: Information Systems and Management

Field: Decision Sciences

Domain: Social Sciences

Open Access status: gold

Estimated APC paid: $1,817

Funders: Deutsche Forschungsgemeinschaft, Technische Universität München