Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash 105 tok/s
Gemini 2.5 Pro 52 tok/s Pro
GPT-5 Medium 45 tok/s
GPT-5 High 34 tok/s Pro
GPT-4o 108 tok/s
GPT OSS 120B 473 tok/s Pro
Kimi K2 218 tok/s Pro
2000 character limit reached

Measuring Information Diffusion in Code Review at Spotify (2406.12553v1)

Published 18 Jun 2024 in cs.SE

Abstract: 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.

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.

Summary

We haven't generated a summary for this paper yet.

Dice Question Streamline Icon: https://streamlinehq.com

Follow-up Questions

We haven't generated follow-up questions for this paper yet.