Two Elements of Pair Programming Skill (ICSE 2021 - NIER - New Ideas and Emerging Results) - ICSE 2021

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Mon 17 May - Sat 5 June 2021

Who

Franz Zieris, Lutz Prechelt

Track

ICSE 2021 NIER - New Ideas and Emerging Results

Time Zone

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When

Wed 26 May 2021 16:05 - 16:20 at Blended Sessions Room 3 - 2.4.3. Observational Studies: Different Domains Chair(s): Daniela Damian
Thu 27 May 2021 04:05 - 04:20 at Blended Sessions Room 3 - 2.4.3. Observational Studies: Different Domains

Abstract

Background: Pair programming (PP) can have many benefits in industry. Researchers and practitioners recognize that successful and productive PP involves some skill that might take time to learn and improve.

Question: What are the elements of pair programming skill?

Method: We perform qualitative analyses of industrial pair programming sessions following the Grounded Theory Methodology. We look for patterns of problematic behavior to conceptualize key elements of what ‘good’ and ‘bad’ pairs do differently.

Results: Here, we report two elements of pair programming skill: Good pairs (1) manage to maintain their Togetherness and (2) keep an eye on their session’s Expediency. We identify three problematic behavioral patterns that affect one or both of these elements: Getting Lost in the Weeds, Losing the Partner, and Drowning the Partner.

Conclusion: Pair programming skill is separate from general software development skill. Years of PP experience are neither a prerequisite nor sufficient for successful pair programming.

Link to Preprint

https://arxiv.org/abs/2102.06460

Franz Zieris

Freie Universität Berlin

Germany

Lutz Prechelt

Freie Universität Berlin

Germany

YT Video

Time Zone

The program is currently displayed in (GMT+02:00) Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna.

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Session Program

Wed 26 May
Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

	16:05 - 17:00	2.4.3. Observational Studies: Different DomainsJournal-First Papers / NIER - New Ideas and Emerging Results / SEIP - Software Engineering in Practice at Blended Sessions Room 3 +12h Chair(s): Daniela Damian University of Victoria

	16:05 15m Paper		Two Elements of Pair Programming SkillNIER NIER - New Ideas and Emerging Results Franz Zieris Freie Universität Berlin, Lutz Prechelt Freie Universität Berlin Pre-print Media Attached
	16:20 20m Paper		The best laid plans or lack thereof: Security decision-making of different stakeholder groupsJournal-First Journal-First Papers Benjamin Shreeve University of Bristol, Joseph Hallett University of Bristol, Matthew Edwards University of Bristol, Kopo M. Ramokapane University of Bristol, Richard Atkins City of London Police, Awais Rashid University of Bristol, UK Link to publication DOI Pre-print Media Attached
	16:40 20m Paper		On the Lack of Consensus Among Technical Debt Detection ToolsSEIP SEIP - Software Engineering in Practice Jason Lefever Drexel University, Yuanfang Cai Drexel University, Humberto Cervantes UAM Iztapalapa, Rick Kazman University of Hawai‘i at Mānoa, Hongzhou Fang Drexel University Pre-print Media Attached

Thu 27 May
Displayed time zone: Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna change

	04:05 - 05:00	2.4.3. Observational Studies: Different DomainsSEIP - Software Engineering in Practice / Journal-First Papers / NIER - New Ideas and Emerging Results at Blended Sessions Room 3

	04:05 15m Paper		Two Elements of Pair Programming SkillNIER NIER - New Ideas and Emerging Results Franz Zieris Freie Universität Berlin, Lutz Prechelt Freie Universität Berlin Pre-print Media Attached
	04:20 20m Paper		The best laid plans or lack thereof: Security decision-making of different stakeholder groupsJournal-First Journal-First Papers Benjamin Shreeve University of Bristol, Joseph Hallett University of Bristol, Matthew Edwards University of Bristol, Kopo M. Ramokapane University of Bristol, Richard Atkins City of London Police, Awais Rashid University of Bristol, UK Link to publication DOI Pre-print Media Attached
	04:40 20m Paper		On the Lack of Consensus Among Technical Debt Detection ToolsSEIP SEIP - Software Engineering in Practice Jason Lefever Drexel University, Yuanfang Cai Drexel University, Humberto Cervantes UAM Iztapalapa, Rick Kazman University of Hawai‘i at Mānoa, Hongzhou Fang Drexel University Pre-print Media Attached