Abstract | ||
---|---|---|
Scientists often write code to support their science. To investigate the state of scientific programming on smaller teams in diverse scientific contexts, we interviewed eleven scientists about their programming practices, and the extent to which they adhere to six common best practices. We argue that these practices are essential to the core scientific value of reproducibility. Our results indicate that many of these practices are not followed because of barriers such as low self-efficacy and misaligned incentive structures. We conclude with suggested improvements to the tooling, education, and incentives of scientific programmers. |
Year | DOI | Venue |
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2019 | 10.1109/vlhcc.2019.8818907 | Symposium on Visual Languages and Human Centric Computing VL HCC |
Field | DocType | ISSN |
Computer science,Human–computer interaction,Scientific programming | Conference | 1943-6092 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
David Gray Widder | 1 | 15 | 3.01 |
Joshua Sunshine | 2 | 252 | 27.19 |
Stephen Fickas | 3 | 0 | 0.34 |