2012/10/01 by Greg Wilson, D. A. Aruliah, C. Titus Brown +10 · 6 voices · 9 citations
#cs.MS #cs.SE
paper · pdf · doi:10.1371/journal.pbio.1001745
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.