A comparative analysis of different gender pair combinations in pair programming
Kyungsub Stephen Choi
Behaviour and Information Technology, 2015, vol. 34, issue 8, 825-837
Abstract:
Over the last decade, there has been a steady stream of pair programming studies. However, one significant area of pair programming that has not received its due attention is gender. Considering the fact that pair programming is one of the major human-centric software development paradigms, this is a gap that needs to be addressed. This empirical study conducted quantitative and qualitative analyses of different gender pair combinations within pair programming context. Using a pool of university programming course students as the experiment participants, the study examined three gender pair types: female–female, female–male, and male–male. The result revealed that there was no significant gender difference in the pair programming coding output. But there were significant differences in the levels of pair compatibility and communication between the same gender pair type: female–female and male–male, and the mixed gender pair type, female–male. The post-experiment comments provide additional insights and details about gender in pair interactions.
Date: 2015
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/0144929X.2014.937460 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:tbitxx:v:34:y:2015:i:8:p:825-837
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tbit20
DOI: 10.1080/0144929X.2014.937460
Access Statistics for this article
Behaviour and Information Technology is currently edited by Dr Panos P Markopoulos
More articles in Behaviour and Information Technology from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().