Publication: Associating working memory capacity and code change ordering with code review performance
Associating working memory capacity and code change ordering with code review performance
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Baum, T., Schneider, K., & Bacchelli, A. (2019). Associating working memory capacity and code change ordering with code review performance. Empirical Software Engineering, 24(4), 1762–1798. https://doi.org/10.1007/s10664-018-9676-8
Abstract
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Change-based code review is a software quality assurance technique that is widely used in practice. Therefore, better understanding what influences performance in code reviews and finding ways to improve it can have a large impact. In this study, we examine the association of working memory capacity and cognitive load with code review performance and we test the predictions of a recent theory regarding improved code review efficiency with certain code change part orders. We perform a confirmatory experiment with 50 participants, mostl
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- Baum, Tobias
- Schneider, Kurt
- Bacchelli, Alberto
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Baum, T., Schneider, K., & Bacchelli, A. (2019). Associating working memory capacity and code change ordering with code review performance. Empirical Software Engineering, 24(4), 1762–1798. https://doi.org/10.1007/s10664-018-9676-8
