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Understanding Users’Affective States During Issue Resolution in Open Source Software Projects

Yu-Qian Zhuang Liang Wang Ke-Xin Sun Hong-Yu Kuang Xian-Ping Tao

Journal of Computer Science & Technology2026，Vol.41Issue(2)：P.724-741,18.

Journal of Computer Science & Technology2026，Vol.41Issue(2)：P.724-741,18.DOI:10.1007/s11390-025-4478-0

Understanding Users’Affective States During Issue Resolution in Open Source Software Projects

Yu-Qian Zhuang ¹Liang Wang ¹Ke-Xin Sun ¹Hong-Yu Kuang ¹Xian-Ping Tao¹

作者信息

1. State Key Laboratory for Novel Software Technology,Nanjing University,Nanjing 210023,China
折叠

摘要

关键词

affective state/issue resolution/user retention/large language model(LLM)

分类

信息技术与安全科学

引用本文复制引用

Yu-Qian Zhuang,Liang Wang,Ke-Xin Sun,Hong-Yu Kuang,Xian-Ping Tao..Understanding Users’Affective States During Issue Resolution in Open Source Software Projects[J].Journal of Computer Science & Technology,2026,41(2):P.724-741,18.

基金项目

supported by the National Natural Science Foundation of China under Grant No.62172203 （）

the Collaborative Innovation Center of Novel Software Technology and Industrialization. （）

Journal of Computer Science & Technology

ISSN：1000-9000

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