Tao Wang 0006 - researchr alias

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Viewing Publication 1 - 26 from 26

2022

Motivation Under Gamification: An Empirical Study of Developers' Motivations and Contributions in Stack OverflowYao Lu 0003, XinJun Mao, Minghui Zhou, Yang Zhang 0026, Zude Li, Tao Wang 0006, Gang Yin, Huaimin Wang. TSE, 48(12):4947-4963, 2022. [doi]

Redundancy, Context, and Preference: An Empirical Study of Duplicate Pull Requests in OSS ProjectsZhixing Li, Yue Yu, Minghui Zhou, Tao Wang 0006, Gang Yin, Long Lan, Huaimin Wang. TSE, 48(4):1309-1335, 2022. [doi]

HAF: a hybrid annotation framework based on expert knowledge and learning techniqueZhixing Li, Yue Yu 0001, Tao Wang 0006, Gang Yin, XinJun Mao, Huaimin Wang. chinaf, 65(1), 2022. [doi]

Are You Still Working on This? An Empirical Study on Pull Request AbandonmentZhixing Li, Yue Yu 0001, Tao Wang 0006, Gang Yin, Shanshan Li, Huaimin Wang. TSE, 48(6):2173-2188, 2022. [doi]

Opportunities and Challenges in Repeated Revisions to Pull-Requests: An Empirical StudyZhixing Li, Yue Yu 0001, Tao Wang 0006, Shanshan Li, Huaimin Wang. pacmhci, 6(CSCW2):1-35, 2022. [doi]

Opportunities and Challenges in Repeated Revisions to Pull-Requests: An Empirical StudyZhixing Li, Yue Yu 0001, Tao Wang 0006, Shanshan Li, Huaimin Wang. pacmhci, 6(CSCW2):1-35, 2022. [doi]

Pull request latency explained: an empirical overviewXunhui Zhang, Yue Yu 0001, Tao Wang 0006, Ayushi Rastogi, Huaimin Wang. ese, 27(6):126, 2022. [doi]

A systematic literature review of clone evolutionYan Zhong, Xunhui Zhang, Tao Wang 0006, Yanzhi Zhang. csse 2022: 461-473 [doi]

2021

2020

2019

Studying in the 'Bazaar': An Exploratory Study of Crowdsourced Learning in GitHubYao Lu 0003, XinJun Mao, Tao Wang 0006, Gang Yin, Zude Li, Wanyuan Wang. access, 7:58930-58944, 2019. [doi]

Amelioration of Teaching Strategies by Exploring Code Quality and Submission BehaviorYu Bai, Tao Wang 0006, Huaimin Wang. access, 7:152744-152754, 2019. [doi]

Multi-reviewing pull-requests: An exploratory study on GitHub OSS projectsDongyang Hu, Yang Zhang, Junsheng Chang, Gang Yin, Yue Yu 0001, Tao Wang 0006. INFSOF, 115:1-4, 2019. [doi]

A Large-Gap Clone Detection Approach Using Sequence Alignment via Dynamic Parameter OptimizationJinze Liu, Tao Wang 0006, Chenhui Feng, Huaimin Wang, Dongsheng Li. access, 7:131270-131281, 2019. [doi]

RepoLike: amulti-feature-based personalized recommendation approach for open-source repositoriesCheng Yang, Qiang Fan, Tao Wang 0006, Gang Yin, Xunhui Zhang, Yue Yu, Huaimin Wang. jzusc, 20(2):222-237, 2019. [doi]

BBCPS: A Blockchain Based Open Source Contribution Protection SystemQiubing Zeng, Xunhui Zhang, Tao Wang 0006, Peichang Shi, Xiang Fu, Chenhui Feng. blocksys 2020: 662-675 [doi]

2018

Who Will Become a Long-Term Contributor?: A Prediction Model based on the Early Phase BehaviorsTao Wang 0006, Yang Zhang, Gang Yin, Yue Yu, Huaimin Wang. internetware 2018: [doi]

Correlation-based software search by leveraging software term databaseZhixing Li, Gang Yin, Tao Wang 0006, Yang Zhang, Yue Yu, Huaimin Wang. fcsc, 12(5):923-938, 2018. [doi]

Adaptive software search toward users' customized requirements in GitHubJinze Liu, Zhixing Li, Tao Wang 0006, Yue Yu, Gang Yin. seke 2018: 143-142 [doi]

Internal quality assurance for external contributions in GitHub: An empirical investigationYao Lu, XinJun Mao, Zude Li, Yang Zhang, Tao Wang 0006, Gang Yin. SMR, 30(4), 2018. [doi]

Improving code summarization by combining deep learning and empirical knowledge (S)Lingbin Zeng, Xunhui Zhang, Tao Wang 0006, Xiao Li, Jie Yu, Huaimin Wang. seke 2018: 566-565 [doi]

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