More than React: Investigating the Role of Emoji Reaction in GitHub Pull Requests-Reference-Cited by-同舟云学术

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More than React: Investigating the Role of Emoji Reaction in GitHub Pull Requests

Published:2023-09 Issue:5 Volume:28 Page:
ISSN:1382-3256
Container-title:Empirical Software Engineering
language:en
Short-container-title:Empir Software Eng

Author:

Wang Dong^ORCID,Xiao Tao,Son Teyon,Kula Raula Gaikovina,Ishio Takashi,Kamei Yasutaka,Matsumoto Kenichi

Funder

Japan Society for the Promotion of Science

Publisher

Springer Science and Business Media LLC

Subject

Software

Link

https://link.springer.com/content/pdf/10.1007/s10664-023-10336-5.pdf

Reference53 articles.

1. Agrawal R, Imieliński T, Swami A (1993) Mining association rules between sets of items in large databases. In: Proceedings of the 1993 ACM SIGMOD international conference on Management of data, pp 207–216

2. Agrawal V, Lin YH, Cheng J (2022) Understanding the characteristics of visual contents in open source issue discussions: A case study of jupyter notebook. In: The International Conference on Evaluation and Assessment in Software Engineering 2022, Association for Computing Machinery, p 249–254, https://doi.org/10.1145/3530019.3534082

3. Bai Q, Dan Q, Mu Z, Yang M (2019) A systematic review of emoji: Current research and future perspectives. Frontiers in psychology 10:2221

4. Baysal O, Kononenko O, Holmes R, Godfrey MW (2013) The influence of non-technical factors on code review. In: 2013 20th Working Conference on Reverse Engineering (WCRE), pp 122–131

5. Baysal O, Kononenko O, Holmes R, Godfrey MW (2016) Investigating Technical and Non-technical Factors Influencing Modern Code Review. Emp Softw Eng, 932–959

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1. Understanding Emojis :) in Useful Code Review Comments;Proceedings of the Third ACM/IEEE International Workshop on NL-based Software Engineering;2024-04-20

2. With Great Humor Comes Great Developer Engagement;Proceedings of the 46th International Conference on Software Engineering: Software Engineering in Society;2024-04-14

3. Multi-source Analysis of AI Vulnerabilities: Methodology and Algorithms of Data Collection;2023 IEEE 12th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS);2023-09-07

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