Published in
Public Library of Science, PLoS Biology, 1(12), p. e1001745, 2014
DOI: 10.1371/journal.pbio.1001745
Links
- ORCID
- ORCID
- ORCID
- Public Library of Science
- [discovery.ucl.ac.uk] | PDF
- [www.ncbi.nlm.nih.gov] | PDF
- [arxiv.org] | PDF
- [www.research.ed.ac.uk] | PDF
- [www.pure.ed.ac.uk] | PDF
- [europepmc.org] | PDF
- [www.researchgate.net] | PDF
- [www.ncbi.nlm.nih.gov] | PDF
- [arxiv.org] | PDF
- [epubs.surrey.ac.uk] | PDF
Tools
Best Practices for Scientific Computing
Journal article published in 2014 by
Greg Wilson,
Da A. Aruliah,
Ct Titus Brown 
,
Neil P. Chue Hong,
Matt Davis,
Richard T. Guy,
Steven H. D. Haddock,
Kathryn D. Huff,
Ian M. Mitchell,
Mark D. Plumbley,
Ben Waugh,
Ethan P. White ,
Paul Wilson
,
Neil P. Chue Hong,
Matt Davis,
Richard T. Guy,
Steven H. D. Haddock,
Kathryn D. Huff,
Ian M. Mitchell,
Mark D. Plumbley,
Ben Waugh,
Ethan P. White ,
Paul Wilson
This paper is made freely available by the publisher.
Full text: Download
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Abstract
We describe a set of best practices for scientific software development, based on research and experience, that will improve scientists' productivity and the reliability of their software.