Understanding the impact of pair programming on the minds of developers

Busechian, Sara; Ivanov, Vladimir; Rogers, Andrei; Sirazitdinov, Ilyas; Succi, Giancarlo; Tormasov, Alexander; Yi, Jooyong

doi:10.1145/3183399.3183413

Cited by 9 publications

(6 citation statements)

References 12 publications

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“…Their difference was significant (around 13%). This result differs from a previous study [13], where a more relaxed state was observed in pair programming than solo programming.…”

Section: Rq2: Do Group Sessions Induce Higher Levels Of Calmness (Meditation)contrasting

confidence: 99%

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Comparing Participants’ Brainwaves During Solo, Pair, and Mob Programming

Shiraishi

Washizaki

Saito

et al. 2021

Lecture Notes in Business Information Processing

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Participants’ feelings and impressions utilizing electroencephalography (EEG) and the effectiveness of code are compared for different types of programming sessions. EEG information is obtained as an alternate viewpoint during three programming sessions (solo, pair, and mob programming). MindWave Mobile 2 (brainwave detector) is equipped to collect the attention levels, meditation levels, and EEG brainwaves. These data are utilized to distinguish efficiencies, weaknesses, and points of interest by programming session. The results provide preliminary information to distinguish between the three sessions, but further studies are necessary to make firm conclusions. Additionally, alternative methods or systems are required to analyze the collected data.

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“…Their difference was significant (around 13%). This result differs from a previous study [13], where a more relaxed state was observed in pair programming than solo programming.…”

Section: Rq2: Do Group Sessions Induce Higher Levels Of Calmness (Meditation)contrasting

confidence: 99%

“…In this study, we employed a new method, which is similar to a preliminary study of pair programming on brainwaves [13], to collect empirical evidence and answer our four RQs. Participants' brainwaves were used to understand and compare the mental state from a scientific viewpoint.…”

Section: Collection and Analysis Of Brainwavesmentioning

confidence: 99%

Comparing Participants’ Brainwaves During Solo, Pair, and Mob Programming

Shiraishi

Washizaki

Saito

et al. 2021

Lecture Notes in Business Information Processing

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“…A careful analysis of the existing studies ( [7]) evidences that attention can be detected via various mechanisms including keystroke dynamics [8] and pupillography [9]; however EEG provide in general the most accurate results among the approaches that are feasible to use [10][11][12][13][14][15].…”

Section: Background and Related Workmentioning

confidence: 99%

Attention tracking for developers

Amirova

2020

Proceedings of the 28th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Softw

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“…However, the overall research field in this area is still in its infancy. This paper presents the early results and challenges of using a full EEG to understand the brain activity during coding, in research that started about two years ago [1]. Specifically, we are trying to evaluate empirically how different settings may induce different brainwaves, and from this, understand the mental states of developers in such different settings and thus devise the most suited for a variety of work tasks and conditions.…”

Section: Introductionmentioning

confidence: 99%

Initial evaluation of the brain activity under different software development situations

Ikramov¹,

Ivanov²,

Masyagin³

et al. 2019

International Conferences on Software Engineering and Knowledge Engineering

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The use of biological signals to understand software development has become more popular in the last few years but poses new challenges with respect to the overall experimental settings. In this paper we present such challenges and the approach we took to overcome them. We illustrate our approach by evaluating two programming situations: pair programming and programming with music. The subjects involved in the experimentation are mostly students, however, in the largest case we involved graduate students coming from industry with at least three years of working experience. The results in general support the validity of this approach and encourage to go further in this research line. Moreover, as a byproduct, the analysis of pair programming confirms, from a biological perspective, early hypotheses that pair programming induces higher level of concentration.

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Understanding the impact of pair programming on the minds of developers

Cited by 9 publications

References 12 publications

Comparing Participants’ Brainwaves During Solo, Pair, and Mob Programming

Comparing Participants’ Brainwaves During Solo, Pair, and Mob Programming

Attention tracking for developers

Initial evaluation of the brain activity under different software development situations

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