Article,
Best Practices for Scientific Computing
CoRR, (October 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.
Tags
- 'software
- computation
- computing
- culture
- dblp
- engineering'
- forhiwi
- papers
- programming
- research
- science
- software
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Comments and Reviewsshow / hide
- @kibanov 11 years agoA good paper. The researchers should read it as they "typically spend 30% or more of their time developing software" but still do not have much of industry experience. It's good that presented "practices reinforce and support one another, so the effort required is less than the sum of adding each component separately". I also advice to read this paper for all CS-students.