Effects of Personality Traits on Pull Request Acceptance

被引:21
作者
Iyer, Rahul N. [1 ]
Yun, S. Alex [1 ]
Nagappan, Meiyappan [1 ]
Hoey, Jesse [1 ]
机构
[1] Univ Waterloo, David R Cheriton Sch Comp Sci, Waterloo, ON N2L 3G1, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
Psychology; Social factors; Software engineering; Task analysis; Dictionaries; Robots; Software; Pull request; GitHub; online collaborative environments; open source systems; personality; Big Five; five-factor model; JOB-PERFORMANCE; 5-FACTOR MODEL; SOFTWARE; CONSCIENTIOUSNESS; INTELLIGENCE; DIMENSIONS; OPENNESS;
D O I
10.1109/TSE.2019.2960357
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
In this paper, we examine the influence of personality traits of developers on the pull request evaluation process in GitHub. We first replicate Tsay et 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.
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页码:2632 / 2643
页数:12
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