Paper Info
Title
Knowledge transfer in pair programming: An in-depth analysis.
Abstract
Whilst knowledge transfer is one of the most widely-claimed benefits of pair programming, little is known about how knowledge transfer is achieved in this setting. This is particularly pertinent for novice−expert constellations, but knowledge transfer takes place to some degree in all constellations. We ask “what does it take to be a good “expert” and how can a “novice” best learn from a more experienced developer?”. An in-depth investigation of video and audio excerpts of professional pair programming sessions using Interaction Analysis reveals: six teaching strategies, ranging from “giving direct instructions” to “subtle hints”; and challenges and benefits for both partners. These strategies are instantiations of some but not all teaching methods promoted in cognitive apprenticeship; novice articulation, reflection and exploration are not seen in the data. The context of pair programming influences the strategies, challenges and benefits, in particular the roles of driver and navigator and agile prioritisation which considers business value rather than educational progression. Utilising these strategies more widely and recognizing the challenges and benefits for both partners will help developers to maximise the benefits from pairing sessions.
Year
DOI
Venue
2015
10.1016/j.ijhcs.2014.09.001
International Journal of Human-Computer Studies
Keywords
Field
DocType
Pair programming,Knowledge transfer,Interaction analysis,Cognitive apprenticeship,Qualitative analysis
Business value,Ask price,Pair programming,Computer science,Knowledge transfer,Knowledge management,Agile software development,Human–computer interaction,Constellation,Teaching method,Cognitive apprenticeship
Journal
Volume
ISSN
Citations 
73
1071-5819
8
PageRank 
References 
Authors
0.50
24
4
Name
Order
Citations
PageRank
Laura Plonka1444.14
Helen Sharp2130098.84
Janet van der Linden327625.34
Yvonne Dittrich4311.71