EDBT 2026 Demo / reviewers in the wild / expert
S. Alex Yun
dblp:304/8951
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2021
0000-0003-2784-0694ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Software engineering, system software, and programming languages
1 paper |
Empirical software engineering · 50% Software maintenance and evolution · 50% | |
| Human-computer interaction and pervasive computing
1 paper |
Collaborative and social computing · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Empirical software engineering
mining software repositories |
0.5 | 1 | 2021 | Effects of Personality Traits on Pull Request Acceptance · IEEE Trans. Software Eng. 2021 |
Software maintenance and evolution › code review › code review analysis
pull request acceptance |
0.5 | 1 | 2021 | Effects of Personality Traits on Pull Request Acceptance · IEEE Trans. Software Eng. 2021 |
Methods — techniques the papers use, named apart from their topics
statistical analysis · 1.0big five personality traits · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | Effects of Personality Traits on Pull Request AcceptanceabstractIn this paper, we examine the influence of personality traits of developers on the pull request evaluation process in GitHub. We first replicate Tsayet al.’s work that examined the influence of social factors (e.g., ‘social distance’) and technical factors (e.g., test file inclusion) for evaluating contributions, and then extend it with personality based factors. In particular, we extract the Big Five personality traits (Openness, Conscientiousness, Extraversion, Agreeableness, and Neuroticism) of developers from their online digital footprints, such as pull request comments. We analyze the personality traits of 16,935 active developers from 1,860 projects and compare their relative importance to other non-personality factors from past research, in the pull request evaluation process. We find that pull requests from authors (requesters) who are more open and conscientious, but less extroverted, have a higher chance of approval. Furthermore, pull requests that are closed by developers (closers) who are more conscientious, extroverted, and neurotic, have a higher likelihood of acceptance. The larger the difference in personality traits between the requester and the closer, the more positive effect it has on pull request acceptance. Finally, although the effect of personality traits is significant and comparable to technical factors, we find that social factors are still more influential on the likelihood of pull request acceptance. Rahul N. Iyer, S. Alex Yun, Meiyappan Nagappan, Jesse Hoey |
IEEE Trans. Software Eng. | 2 |