Explaining Pair Programming Session Dynamics from Knowledge Gaps
Abstract
Background: Despite a lot of research on the effectiveness of Pair Programming (PP), the question when it is useful or less useful remains unsettled. Method: We analyze recordings of many industrial PP sessions with Grounded Theory Methodology and build on prior work that identified various phenomena related to within-session knowledge build-up and transfer. We validate our findings with practitioners. Result: We identify two fundamentally different types of required knowledge and explain how different constellations of knowledge gaps in these two respects lead to different session dynamics. Gaps in project-specific systems knowledge are more hampering than gaps in general programming knowledge and are dealt with first and foremost in a PP session. Conclusion: Partner constellations with complementary knowledge make PP a particularly effective practice. In PP sessions, differences in system understanding are more important than differences in general software development knowledge.
- Citation
- BibTeX
Zieris, F. & Prechelt, L.,
(2021).
Explaining Pair Programming Session Dynamics from Knowledge Gaps.
In:
Koziolek, A., Schaefer, I. & Seidl, C.
(Hrsg.),
Software Engineering 2021.
Bonn:
Gesellschaft für Informatik e.V..
(S. 121-122).
DOI: 10.18420/SE2021_48
@inproceedings{mci/Zieris2021,
author = {Zieris, Franz AND Prechelt, Lutz},
title = {Explaining Pair Programming Session Dynamics from Knowledge Gaps},
booktitle = {Software Engineering 2021},
year = {2021},
editor = {Koziolek, Anne AND Schaefer, Ina AND Seidl, Christoph} ,
pages = { 121-122 } ,
doi = { 10.18420/SE2021_48 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
author = {Zieris, Franz AND Prechelt, Lutz},
title = {Explaining Pair Programming Session Dynamics from Knowledge Gaps},
booktitle = {Software Engineering 2021},
year = {2021},
editor = {Koziolek, Anne AND Schaefer, Ina AND Seidl, Christoph} ,
pages = { 121-122 } ,
doi = { 10.18420/SE2021_48 },
publisher = {Gesellschaft für Informatik e.V.},
address = {Bonn}
}
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More Info
DOI: 10.18420/SE2021_48
ISBN: 978-3-88579-704-3
ISSN: 1617-5468
xmlui.MetaDataDisplay.field.date: 2021
Language:
(en)

Content Type: Text/ConferencePaper