Best Practices for Scientific Computing

2012/10/01 by Greg Wilson, D. A. Aruliah, C. Titus Brown +16 · 6 voices · 731 citations
Computer Science · Decision Sciences · Engineering · #Best practice #Biology #Code (set theory) #Computer science #Data Visualization and Analytics #Data science #Distributed and Parallel Computing Systems #Engineering #Engineering ethics #Productivity #Programming language #Reliability (semiconductor) #Scientific Computing and Data Management #Set (abstract data type) #Software #Software development #Software engineering #cs.MS #cs.SE

paper · pdf · doi:10.1371/journal.pbio.1001745

published in PLoS Biology 12(1), e1001745 (Public Library of Science) · 18 pages

arxiv created 2013/09/26 · openalex publication_date 2014/01/07 · arxiv updated 2016/08/04 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05

Abstract

: We describe a set of best practices for scientific software development, based on research and experience, that will improve scientists' productivity and the reliability of their software.

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• Best practices for scientific computing - 'most scientists are never taught how to do this efficiently' http://arxiv.org/abs/1210.0530 [bsky, 0 points, 0 comments]

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