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Are Happy Developers More Productive?: The Correlation of Affective States of Software Developers and Their Self-assessed Productivity

Product-Focused Software Process Improvement, p.50-64 [Peer Reviewed Journal]

Springer-Verlag Berlin Heidelberg 2013 ;ISSN: 0302-9743 ;ISBN: 9783642392580 ;ISBN: 364239258X ;EISSN: 1611-3349 ;EISBN: 3642392598 ;EISBN: 9783642392597 ;DOI: 10.1007/978-3-642-39259-7_7

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  • Title:
    Are Happy Developers More Productive?: The Correlation of Affective States of Software Developers and Their Self-assessed Productivity
  • Author: Graziotin, Daniel ; Wang, Xiaofeng ; Abrahamsson, Pekka
  • Subjects: Affective States ; Emotion ; Feeling ; Human Factors ; Mood ; Productivity ; Software Developers ; Software Development
  • Is Part Of: Product-Focused Software Process Improvement, p.50-64
  • Description: For decades now, it has been claimed that a way to improve software developers’ productivity is to focus on people. Indeed, while human factors have been recognized in Software Engineering research, few empirical investigations have attempted to verify the claim. Development tasks are undertaken through cognitive processing abilities. Affective states – emotions, moods, and feelings - have an impact on work-related behaviors, cognitive processing activities, and the productivity of individuals. In this paper, we report an empirical study on the impact of affective states on software developers’ performance while programming. Two affective states dimensions are positively correlated with self-assessed productivity. We demonstrate the value of applying psychometrics in Software Engineering studies and echo a call to valorize the human, individualized aspects of software developers. We introduce and validate a measurement instrument and a linear mixed-effects model to study the correlation of affective states and the productivity of software developers.
  • Publisher: Berlin, Heidelberg: Springer Berlin Heidelberg
  • Language: English
  • Identifier: ISSN: 0302-9743
    ISBN: 9783642392580
    ISBN: 364239258X
    EISSN: 1611-3349
    EISBN: 3642392598
    EISBN: 9783642392597
    DOI: 10.1007/978-3-642-39259-7_7
  • Source: Alma/SFX Local Collection
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