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Laura Plonka

dblp:20/8389 · DBLP profile ↗
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5ranked-venue papers
5as first author
0since 2021 · last 2015
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Software engineering, systems software and programming languages · 4 · 4 first-authorHuman-computer interaction and ubiquitous computing · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Software engineering, system software, and programming languages
2 papers
Software maintenance and evolution · 60% Empirical software engineering · 40%
Human-computer interaction and pervasive computing
2 papers
Collaborative and social computing · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Software maintenance and evolution
knowledge transfer
0.212015
Knowledge transfer in pair programming: An in-depth analysis · Int. J. Hum. Comput. Stud. 2015
Empirical software engineering
developer studies
0.112012
Disengagement in pair programming: Does it matter? · ICSE 2012
Collaborative and social computing › computer-supported cooperative work › developer collaboration
pair programming
0.122015
Knowledge transfer in pair programming: An in-depth analysis · Int. J. Hum. Comput. Stud. 2015
Disengagement in pair programming: Does it matter? · ICSE 2012

Methods — techniques the papers use, named apart from their topics

video analysis · 0.3qualitative analysis · 0.3
YearPublicationVenuePosition
2015 Knowledge transfer in pair programming: An in-depth analysis
Laura Plonka, Helen Sharp, Janet van der Linden, Yvonne Dittrich
Int. J. Hum. Comput. Stud.1
2014 UX Design in Agile: A DSDM Case Study
Laura Plonka, Helen Sharp, Peggy Gregory, Katie Taylor
XP1
2012 Disengagement in pair programming: Does it matter?
abstract
Pair Programming (PP) requires close collaboration and mutual engagement. Most existing empirical studies of PP do not focus on developers' behaviour during PP sessions, and focus instead on the effects of PP such as productivity. However, disengagement, where a developer is not focusing on solving the task or understanding the problem and allows their partner to work by themselves, can hinder collaboration between developers and have a negative effect on their performance. This paper reports on an empirical study that investigates disengagement. Twenty-one industrial pair programming sessions were video and audio recorded and qualitatively analysed to investigate circumstances that lead to disengagement. We identified five reasons for disengagement: interruptions during the collaboration, the way the work is divided, the simplicity of the task involved, social pressure on inexperienced pair programmers, and time pressure. Our findings suggest that disengagement is sometimes acceptable and agreed upon between the developers in order to speed up problem solving. However, we also found episodes of disengagement where developers “drop out” of their PP sessions and are not able to follow their partner's work nor contribute to the task at hand, thus losing the expected benefits of pairing. Analysis of sessions conducted under similar circumstances but where mutual engagement was sustained identified three behaviours that help to maintain engagement: encouraging the novice to drive, verbalisation and feedback, and asking for clarification.
Laura Plonka, Helen Sharp, Janet van der Linden
ICSE1
2011 Collaboration in Pair Programming: Driving and Switching
Laura Plonka, Judith Segal, Helen Sharp, Janet van der Linden
XP1
2010 Pair Programming: The Choice of a Partner
Laura Plonka
XP1