Wilson, G.; Aruliah, D. A.; Brown, C. T.; Hong, N. P. C.; Davis, M.; Guy, R. T.; Haddock, S. H. D.; Huff, K.; Mitchell, I. M.; Plumbley, M.; Waugh, B.; White, E. P. & Wilson, P. (2012),
'Best Practices for Scientific Computing', CoRR
abs/1210.0530
.
[BibTeX]
[Endnote]
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.
Wilson, G.; Aruliah, D. A.; Brown, C. T.; Hong, N. P. C.; Davis, M.; Guy, R. T.; Haddock, S. H. D.; Huff, K.; Mitchell, I. M.; Plumbley, M.; Waugh, B.; White, E. P. & Wilson, P. (2012),
'Best Practices for Scientific Computing', CoRR
abs/1210.0530
.
[BibTeX]
[Endnote]
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.