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.
%0 Journal Article
%1 wilson2012practices
%A Wilson, Greg
%A Aruliah, D. A.
%A Brown, C. Titus
%A Hong, Neil P. Chue
%A Davis, Matt
%A Guy, Richard T.
%A Haddock, Steven H. D.
%A Huff, Katy
%A Mitchell, Ian M.
%A Plumbley, Mark
%A Waugh, Ben
%A White, Ethan P.
%A Wilson, Paul
%D 2012
%J CoRR
%K research science toread
%T Best Practices for Scientific Computing
%U http://arxiv.org/abs/1210.0530
%V abs/1210.0530
%X 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.
@article{wilson2012practices,
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.},
added-at = {2013-01-26T18:42:39.000+0100},
author = {Wilson, Greg and Aruliah, D. A. and Brown, C. Titus and Hong, Neil P. Chue and Davis, Matt and Guy, Richard T. and Haddock, Steven H. D. and Huff, Katy and Mitchell, Ian M. and Plumbley, Mark and Waugh, Ben and White, Ethan P. and Wilson, Paul},
biburl = {https://www.bibsonomy.org/bibtex/2e28ce8ccadfa439cce3bcdcb5289b499/hotho},
interhash = {78f98610c430aa34dc2e161bb8069401},
intrahash = {e28ce8ccadfa439cce3bcdcb5289b499},
journal = {CoRR},
keywords = {research science toread},
month = oct,
timestamp = {2013-01-26T18:42:39.000+0100},
title = {Best Practices for Scientific Computing},
url = {http://arxiv.org/abs/1210.0530},
volume = {abs/1210.0530},
year = 2012
}