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Title:

bertha: Project Skeleton for Scientific Software

Document type:
Zeitschriftenaufsatz
Author(s):
Riesch, M.; Nguyen, T.D.; Jirauschek, C.
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 best software engineering practices from the start of a project or serves as reference for existing projects.
Journal title:
arXiv:1912.01640 [cs.MS] Computer Science > Mathematical Software 2019-12
Year:
2019
Year / month:
2019-12
Quarter:
4. Quartal
Month:
Dec
Language:
en
Fulltext / DOI:
doi:10.1371/journal.pone.0230557
WWW:
https://arxiv.org/abs/1912.01640
Publisher:
Cornell University, Ithaca, New York, USA
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