Measuring Information Diffusion in Code Review at Spotify
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arXiv
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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866916293159944192 |
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| author | Dorner, Michael Mendez, Daniel Zabardast, Ehsan Valdez, Nicole Floryan, Marcin |
| author_facet | Dorner, Michael Mendez, Daniel Zabardast, Ehsan Valdez, Nicole Floryan, Marcin |
| contents | Background: As a core practice in software engineering, the nature of code review has been frequently subject to research. Prior exploratory studies found that code review, the discussion around a code change among humans, forms a communication network that enables its participants to exchange and spread information. Although popular in software engineering, there is no confirmatory research corroborating this theory and the actual extent of information diffusion in code review is not well understood.
Objective: In this registered report, we propose an observational study to measure information diffusion in code review to test the theory of code review as communication network.
Method: We approximate the information diffusion in code review through the frequency and the similarity between (1) human participants, (2) affected components, and (3) involved teams of linked code reviews. The measurements approximating the information diffusion in code review serve as a foundation for falsifying the theory of code review as communication network. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2406_12553 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Measuring Information Diffusion in Code Review at Spotify Dorner, Michael Mendez, Daniel Zabardast, Ehsan Valdez, Nicole Floryan, Marcin Software Engineering Background: As a core practice in software engineering, the nature of code review has been frequently subject to research. Prior exploratory studies found that code review, the discussion around a code change among humans, forms a communication network that enables its participants to exchange and spread information. Although popular in software engineering, there is no confirmatory research corroborating this theory and the actual extent of information diffusion in code review is not well understood. Objective: In this registered report, we propose an observational study to measure information diffusion in code review to test the theory of code review as communication network. Method: We approximate the information diffusion in code review through the frequency and the similarity between (1) human participants, (2) affected components, and (3) involved teams of linked code reviews. The measurements approximating the information diffusion in code review serve as a foundation for falsifying the theory of code review as communication network. |
| title | Measuring Information Diffusion in Code Review at Spotify |
| topic | Software Engineering |
| url | https://arxiv.org/abs/2406.12553 |