The Impact of Peer-Based Software Reviews on Team Performance: The Role of Feedback and Transactive Memory Systems
Year: 2012
Type: conference-paper
Abstract: Peer-based software review techniques such as pair programming and peer code review are increasingly used within information systems development teams. How do these techniques influence team performance? While previous research has treated the decision to apply peer-based review techniques as a trade-off between increased effort and improved code quality, this study provides a deeper theoretical understanding of how these techniques affect team performance. Based on extant literature on team feedback and transactive memory systems, a theoretical model is developed which links pair programming and peer code review to different forms of feedback. Depending on task complexity, different feedback mechanisms are suggested to influence team performance directly through improved code quality, but also indirectly by strengthening teams’ transactive memory systems. Findings from ongoing extensive empirical research are expected to contribute to existing literature on peer-based software review techniques, which mostly examined effects on the performance of individuals in experimental settings.
Source: MADOC (University of Mannheim)
Authors: Christoph Schmidt, Kai Spohrer, Thomas Kude, Armin Heinzl
Institution: University of Mannheim
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W195435918
