Using a balanced scorecard to identify opportunities to improve code review effectiveness: an industrial experience report

Hasan, Masum; Iqbal, Anindya; Islam, Mohammad Rafid Ul; Rahman, A.J.M. Imtiajur; Bosu, Amiangshu

doi:10.1007/s10664-021-10038-w

Cited by 10 publications

(1 citation statement)

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“…Hasan et al [123] developed and evaluated an approach to measure the effectiveness of developers when doing code reviews. They defined a set of metrics and developed a model to measure code review usefulness.…”

Section: Support Systems For Codementioning

confidence: 99%

Modern Code Reviews—Survey of Literature and Practice

Badampudi

Unterkalmsteiner

Britto

2023

ACM Trans. Softw. Eng. Methodol.

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Background: Modern Code Review (MCR) is a lightweight alternative to traditional code inspections. While secondary studies on MCR exist; it is unknown whether the research community has targeted themes that practitioners consider important. Objectives: The objectives are to provide an overview of MCR research, analyze the practitioners’ opinions on the importance of MCR research, investigate the alignment between research and practice, and propose future MCR research avenues. Method: We conducted a systematic mapping study to survey state-of-the-art until and including 2021, employed the Q-Methodology to analyze the practitioners’ perception of the relevance of MCR research, and analyzed the primary studies’ research impact. Results: We analyzed 244 primary studies, resulting in five themes. As a result of the 1300 survey data points, we found that the respondents are positive about research investigating the impact of MCR on product quality and MCR process properties. In contrast, they are negative about human factor- and support systems-related research. Conclusion: These results indicate a misalignment between the state-of-the-art and the themes deemed important by most survey respondents. Researchers should focus on solutions that can improve the state of MCR practice. We provide an MCR research agenda, which can potentially increase the impact of MCR research.

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Section: Support Systems For Codementioning

confidence: 99%