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How Pair Programming Influences Team Performance: The Role of Backup Behavior, Shared Mental Models, and Task Novelty
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2019 | Information Systems Research | Citations: 31
Authors: Kude, Thomas; Mithas, Sunil; Schmidt, Christoph T.; Heinzl, Armin

Abstract: This study examines the team-level effects of pair programming by developing a r ... Expand

Abstract: This study examines the team-level effects of pair programming by developing a research model that accounts for mediators and moderators of the relationship between pair programming and team performance. We hypothesize that pair programming helps software development teams establish backup behavior by strengthening the shared mental models among developers. In turn, backup behavior attenuates the negative effect of task novelty on team performance. We collect data from the software developers, Scrum masters, and product owners of 62 software development teams in a global enterprise software ﬁrm and ﬁnd broad support for our research model. The study makes important contributions by shifting attention to the team-level effects of pair programming and by explicating mediating and moderating mechanisms related to the roles of shared mental models, backup behavior, and task novelty. The results underline the importance of viewing pair programming as a context-speciﬁc practice that helps establish backup behavior in teams. In terms of implications for practitioners, our results show that pair programming can be a valuable element of team governance to create shared mental models and backup behavior and to achieve high team performance when teams face high levels of task novelty. Collapse

Semantic filters: system development method programming language construct validity

Topics: pair programming backup team productivity systems development software developer

Methods: design methodology survey descriptive statistic robustness check survey design

Theories: theory of shared mental models adaptation-level theory
Code Reuse in Open Source Software Development: Quantitative Evidence, Drivers, and Impediments

2010 | Journal of the Association for Information Systems | Citations: 30
Authors: Sojer, Manuel; Henkel, Joachim

Abstract: The focus of existing open source software (OSS) research has been on how and wh ... Expand

Abstract: The focus of existing open source software (OSS) research has been on how and why individuals and firms add to the commons of public OSS code—that is, on the "giving" side of this open innovation process. In contrast, research on the corresponding "receiving" side of the innovation process is scarce. We address this gap, studying how existing OSS code is reused and serves as an input to further OSS development. Our findings are based on a survey with 686 responses from OSS developers. As the most interesting results, our multivariate analyses of developers' code reuse behavior point out that developers with larger personal networks within the OSS community and those who have experience in a greater number of OSS projects reuse more, presumably because both network size and a broad project experience facilitate local search for reusable artifacts. Moreover, we find that a development paradigm that calls for releasing an initial functioning version of the software early—as the "credible promise" in OSS—leads to increased reuse. Finally, we identify developers' interest in tackling difficult technical challenges as detrimental to efficient reuse-based innovation. Beyond OSS, we discuss the relevance of our findings for companies developing software and for the receiving side of open innovation processes, in general. Collapse

Semantic filters: system development method programming language construct validity

Topics: systems development innovation management software developer programming language system quality

Methods: survey qualitative interview data transformation multivariate statistics factor analysis

Theories: technology acceptance model

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How Pair Programming Influences Team Performance: The Role of Backup Behavior, Shared Mental Models, and Task Novelty

Code Reuse in Open Source Software Development: Quantitative Evidence, Drivers, and Impediments