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Best Practices for Scientific Computing

Authors :
Wilson, Greg
Aruliah, D. A.
Brown, C. Titus
Hong, Neil P. Chue
Davis, Matt
Guy, Richard T.
Haddock, Steven H. D.
Huff, Katy
Mitchell, Ian M.
Plumbley, Mark
Waugh, Ben
White, Ethan P.
Wilson, Paul
Source :
PLOS Biology 12(1): e1001745, Jan 2014
Publication Year :
2012

Abstract

Scientists spend an increasing amount of time building and using software. However, most scientists are never taught how to do this efficiently. As a result, many are unaware of tools and practices that would allow them to write more reliable and maintainable code with less effort. We describe a set of best practices for scientific software development that have solid foundations in research and experience, and that improve scientists' productivity and the reliability of their software.<br />Comment: 18 pages

Details

Database :
arXiv
Journal :
PLOS Biology 12(1): e1001745, Jan 2014
Publication Type :
Report
Accession number :
edsarx.1210.0530
Document Type :
Working Paper
Full Text :
https://doi.org/10.1371/journal.pbio.1001745