TY - GEN
T1 - Exploring Behavioral Trustworthiness of GitHub Developers
AU - Nishiura, Kinari
AU - Ikeda, Kaito
AU - Sasakura, Mariko
AU - Monden, Akito
N1 - Publisher Copyright:
© 2023 Copyright held by the owner/author(s).
PY - 2023/9/22
Y1 - 2023/9/22
N2 - In recent years, many companies demand to hire developers who are active on GitHub, making it increasing important to know the activities and characteristics of developers on GitHub. To date, researchers aim to analyze developer characteristics on GitHub, such as software library skills and types of contributions. However, these studies have not focused on the developers’ "trustworthiness", which we believe it extremely important when working with a team because an untrustworthy developer, no matter how skilled, is difficult to entrust with important tasks. In this paper we focus on the developers’ trustworthiness, and try to quantify their behaviors potentially related to trustworthiness, such as the issue accomplishment rate and the average issue accomplishment time. This paper analyzes developers of two well-known OSS projects, React and Python, and show the quantitative evidence on their trustworthiness.
AB - In recent years, many companies demand to hire developers who are active on GitHub, making it increasing important to know the activities and characteristics of developers on GitHub. To date, researchers aim to analyze developer characteristics on GitHub, such as software library skills and types of contributions. However, these studies have not focused on the developers’ "trustworthiness", which we believe it extremely important when working with a team because an untrustworthy developer, no matter how skilled, is difficult to entrust with important tasks. In this paper we focus on the developers’ trustworthiness, and try to quantify their behaviors potentially related to trustworthiness, such as the issue accomplishment rate and the average issue accomplishment time. This paper analyzes developers of two well-known OSS projects, React and Python, and show the quantitative evidence on their trustworthiness.
KW - GitHub
KW - behavioral characteristics
KW - mining software repositories
KW - software metrics
KW - trustworthiness
UR - https://www.scopus.com/pages/publications/85182727373
UR - https://www.scopus.com/pages/publications/85182727373#tab=citedBy
U2 - 10.1145/3631991.3632005
DO - 10.1145/3631991.3632005
M3 - Conference contribution
AN - SCOPUS:85182727373
T3 - ACM International Conference Proceeding Series
SP - 92
EP - 95
BT - WSSE 2023 - 2023 5th World Symposium on Software Engineering
PB - Association for Computing Machinery
T2 - 5th World Symposium on Software Engineering, WSSE 2023
Y2 - 22 September 2023 through 24 September 2023
ER -