TY - GEN
T1 - Data Driven Visualized Analysis
T2 - 29th International Conference on Database Systems for Advanced Applications, DASFAA 2024
AU - You, Lan
AU - Peng, Jiaheng
AU - Wang, Wei
AU - Xia, Yuchun
AU - Zhou, Kaicheng
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.
PY - 2024
Y1 - 2024
N2 - Nowadays, global developers scale in GitHub is growing rapidly, which are beneficial to the development of Open Source Software (OSS) ecosystem. Analyzing and visualizing global trends of GitHub developers is significant. However, how to visualized analyze global trend of developers is challengable, because there exists a scarcity in geo-details about GitHub developers. A geo-visualized analysis system driven by GitHub log data has been proposed for global trends of developers. Based on the GitHub logs from 2008 to 2023, we created a novel dataset about developers with fine-grained geo-details. Then, a multi-dementioned analysis on global trends of OSS developers scale has been carried out. This work reveals the patterns and trends of global OSS developers over the past 16 years, especially in spatio-temporal dimension.
AB - Nowadays, global developers scale in GitHub is growing rapidly, which are beneficial to the development of Open Source Software (OSS) ecosystem. Analyzing and visualizing global trends of GitHub developers is significant. However, how to visualized analyze global trend of developers is challengable, because there exists a scarcity in geo-details about GitHub developers. A geo-visualized analysis system driven by GitHub log data has been proposed for global trends of developers. Based on the GitHub logs from 2008 to 2023, we created a novel dataset about developers with fine-grained geo-details. Then, a multi-dementioned analysis on global trends of OSS developers scale has been carried out. This work reveals the patterns and trends of global OSS developers over the past 16 years, especially in spatio-temporal dimension.
KW - Fine-Grained Location
KW - GitHub developer dataset
KW - Spatio-temporal analysis
UR - https://www.scopus.com/pages/publications/85203870629
U2 - 10.1007/978-981-97-5575-2_47
DO - 10.1007/978-981-97-5575-2_47
M3 - 会议稿件
AN - SCOPUS:85203870629
SN - 9789819755745
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 498
EP - 502
BT - Database Systems for Advanced Applications - 29th International Conference, DASFAA 2024, Proceedings
A2 - Onizuka, Makoto
A2 - Lee, Jae-Gil
A2 - Tong, Yongxin
A2 - Xiao, Chuan
A2 - Ishikawa, Yoshiharu
A2 - Lu, Kejing
A2 - Amer-Yahia, Sihem
A2 - Jagadish, H.V.
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 2 July 2024 through 5 July 2024
ER -