Title
Barriers to Reproducible Scientific Programming
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
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 Widder1153.01
Joshua Sunshine225227.19
Stephen Fickas300.34