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Pair Programming vs. Side-by-Side Programming

Authors: Jerzy R. Nawrocki; Michal Jasiñski; Lukasz Olek; Barbara Lange;

Pair Programming vs. Side-by-Side Programming

Abstract

In agile methodologies communication between programmers is very important. Some of them (e.g. XP or Crystal Clear) recommend pair programming. There are two styles of pair programming: XP-like and side-by-side (the latter comes from Crystal Clear). In the paper an experiment is described that aimed at comparison of those two styles. The subjects were 25 students of Computer Science of 4th and 5th year of study. They worked for 6 days at the university (in a controlled environment) programming web-based applications with Java, Eclipse, MySQL, and Tomcat. The results obtained indicate that side-by-side programming is a very interesting alternative to XP-like pair programming mainly due to less effort overhead (in the experiment the effort overhead for side-by-side programming was as small as 20%, while for XP it was about 50%).

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
24
Top 10%
Top 10%
Top 10%
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