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The effectiveness of pair programming: A meta-analysis

Information and Software TechnologyPublished 22 February 2009
Jo Erskine Hannay, Tore Dybå, Erik Arisholm, Dag I. K. Sjøberg
Citations258
SJR quartileQ1
SJR score1.04
SNIP2.15

TL;DR

A meta-analysis of studies on the effects of pair versus solo programming suggests that pair programming is faster than solo programming when programming task complexity is low and yields code solutions of higher quality whentask complexity is high.

Abstract

Several experiments on the effects of pair versus solo programming have been reported in the literature. We present a meta-analysis of these studies. The analysis shows a small significant positive overall effect of pair programming on quality, a medium significant positive overall effect on duration, and a medium significant negative overall effect on effort. However, between-study variance is significant, and there are signs of publication bias among published studies on pair programming. A more detailed examination of the evidence suggests that pair programming is faster than solo programming when programming task complexity is low and yields code solutions of higher quality when task complexity is high. The higher quality for complex tasks comes at a price of considerably greater effort, while the reduced completion time for the simpler tasks comes at a price of noticeably lower quality. We conclude that greater attention should be given to moderating factors on the effects of pair programming.

Keywords

Computer ScienceDecision Sciences