How do you propose your code changes? Empirical Analysis of Affect Metrics of Pull Requests on GitHub
- Submitting institution
-
Brunel University London
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 092-223199-7000667
- Type
- D - Journal article
- DOI
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10.1109/ACCESS.2020.3002663
- Title of journal
- Ieee Access
- Article number
- -
- First page
- 110897
- Volume
- 8
- Issue
- -
- ISSN
- 2169-3536
- Open access status
- Compliant
- Month of publication
- June
- Year of publication
- 2020
- URL
-
http://bura.brunel.ac.uk/handle/2438/21024
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
4
- Research group(s)
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2 - Software, Systems & Security (SSS)
- Citation count
- 0
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The significance of this work is to further the understanding of how affect metrics and politeness impact code acceptance in an organisation and ultimately product time to market. The paper is an international work and was written in collaboration with authors from the University of Stuttgart (Germany) and the University of Cagliari (Italy). The work is being used for a Research grant proposal for building a prototype of a system that will use the model developed in the study.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
