Best Practices for Scientific Computing: e1001745

[...]many are unaware of tools and practices that would allow them to write more reliable and maintainable code with less effort. [...]recent studies have found that scientists typically spend 30% or more of their time developing software [1],[2]. None of these practices will guarantee efficient, er...

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Bibliographic Details
Published in:PLoS biology 2014-01, Vol.12 (1)
Main Authors: Wilson, Greg, Aruliah, D A, Brown, C Titus, Hong, Neil PChue, Davis, Matt, Guy, Richard T, Haddock, Steven HD, Huff, Kathryn D, Mitchell, Ian M, Plumbley, Mark D, Waugh, Ben, White, Ethan P, Wilson, Paul
Format: Article
Language:English
Subjects:
Automation
Scientists
Software
Studies
Online Access:Get full text
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Summary:[...]many are unaware of tools and practices that would allow them to write more reliable and maintainable code with less effort. [...]recent studies have found that scientists typically spend 30% or more of their time developing software [1],[2]. None of these practices will guarantee efficient, error-free software development, but used in concert they will reduce the number of errors in scientific software, make it easier to reuse, and save the authors of the software time and effort that can used for focusing on the underlying scientific questions.
ISSN:1544-9173
1545-7885
DOI:10.1371/journal.pbio.1001745