Statistical Software for Psychology: Comparing Development Practices Between CRAN and Other Communities
February 20, 2018 Β· Declared Dead Β· π arXiv.org
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Authors
Spencer Smith, Yue Sun, Jacques Carette
arXiv ID
1802.07362
Category
cs.SE: Software Engineering
Citations
4
Venue
arXiv.org
Last Checked
4 months ago
Abstract
Different communities rely heavily on software, but use quite different software development practices. {\bf Objective}: We wanted to measure the state of the practice in the area of statistical software for psychology to understand how it compares to best practices. {\bf Method}: We compared and ranked 30 software tools with respect to adherence to best software engineering practices on items that could be measured by end-users. {\bf Results} We found that R packages use quite good practices, that while commercial packages were quite usable, many aspects of their development is too opaque to be measures, and that research projects vary a lot in their practices. {\bf Conclusion} We recommend that more organizations adopt practices similar to those used by CRAN to facilitate success, even for small teams. We also recommend close coupling of source code and documentation, to improve verifiability.
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