Objects
Wu, Di, Jing, Xiao-Yuan, Zhang, Hongyu, Zhou, Yuming, Xu, Baowen. Springer; 2023. Leveraging Stack Overflow to detect relevant tutorial fragments of APIs.
Wu, Di, Jing, Xiao-Yuan, Zhang, Hongyu, Feng, Yang, Chen, Haowen, Zhou, Yuming, Xu, Baowen. Association for Computing Machinery (ACM); 2023. Retrieving API Knowledge from Tutorials and Stack Overflow Based on Natural Language Queries.
Li, Zhiqiang, Jing, Xiao-Yuan, Zhu, Xiaoke, Zhang, Hongyu, Xu, Baowen, Ying, Shi. Institute of Electrical and Electronics Engineers (IEEE); 2019. On the multiple sources and privacy preservation issues for heterogeneous defect prediction.
Wu, Di, Jing, Xiao-Yuan, Zhang, Hongyu, Li, Bing, Xie, Yu, Xu, Baowen. Springer; 2021. Generating API tags for tutorial fragments from stack overflow.
Wu, Fei, Jing, Xiao-Yuan, Dong, Xiwei, Cao, Jicheng, Xu, Mingwei, Zhang, Hongyu, Ying, Shi, Xu, Baowen. Institute of Electrical and Electronics Engineers (IEEE); 2017. Cross-project and within-project semi-supervised software defect prediction problems study using a unified solution.
Wu, Di, Jing, Xiao-Yuan, Zhang, Hongyu, Zhou, Yuming, Xu, Baowen. Institute of Electrical and Electronics Engineers (IEEE); 2021. Leveraging Stack Overflow to Detect Relevant Tutorial Fragments of APIs.
Li, Zhiqiang, Jing, Xiao-Yuan, Zhu, Xiaoke, Zhang, Hongyu, Xu, Baowen, Ying, Shi. Springer; 2019. Heterogeneous defect prediction with two-stage ensemble learning.