2024
PromptLink: Multi-template prompt learning with adversarial training for issue-commit link recovery. ESEM 2024. （Accept, to appear）
Wang B, Zou Z, Wan H, et al. An empirical study on the state-of-the-art methods for requirement-to-code traceability link recovery[J]. Journal of King Saud University-Computer and Information Sciences, 2024, 36(6): 102118.【PDF】
Deng Y, Wang B, Zhu Q, et al. MTLink: Adaptive multi-task learning based pre-trained language model for traceability link recovery between issues and commits[J]. Journal of King Saud University-Computer and Information Sciences, 2024, 36(2): 101958.【PDF】
XWCoDe: XGBoost with Weighted Code Dependency for Requirements-To-Code Traceability Link Recovery. SMC 2024.（Accept, to appear）
Advancements in Bug Traceability: A Systematic Mapping Study. SMC 2024.（Accept, to appear）
MLTracer: An Approach Based on Multi-Layered Gradient Boosting Decision Trees for Requirements Traceability Recovery. IJCNN 2024.（Accept, to appear）
2023
Bangchao Wang, Yang Deng, Xingrong Hu, Peng Ye, Teaching Reform and Practice of Software Engineering Graduate Students by Implanting Scientific Research Literacy into Classroom Teaching Content, CEISEE 2023. （Accept, to appear）
Bangchao Wang, Zhiquan An, Sentiment Analysis for Requirements Elicitation from App Reviews: A Systematic Mapping Study, APSEC 2023.（Accept, to appear）
Yang Deng, Bangchao Wang, Zhongyuan Hua, Yong Xiao, Xingfu Li, A Knowledge Graph Construction Method for Software Project based on CAJP, JIT, 2023.（Accept, to appear）
Bangchao Wang, Yang Deng, Hongyan Wan, Xingfu Li, DF4RT: Deep Forest for Requirements Traceability Recovery between Use Cases and Source Code, SMC 2023.（Accept, to appear）
Bangchao Wang, Xingfu Li, Hongyan Wan, Yang Deng, A Systematic Mapping Study of Machine Learning Techniques Applied to Software Traceability, SMC 2023.（Accept, to appear）
Bangchao Wang, Zhihan Wang, HhongyanWan, Xingfu Li and Yang Deng, An Empirical Study on Data Balancing in Machine Learning Based Software Traceability Methods, 2023 International Joint Conference on Neural Networks (IJCNN), Gold Coast, Australia, 2023, pp. 1-8, doi: 10.1109/IJCNN54540.2023.10191386.【PDF】
Xingfu Li, Bangchao Wang, Hongyan Wan, Yang Deng, Zihan Wang, Applications of Machine Learning in Requirements Traceability: A Systematic Mapping Study, SEKE, 2023．【PDF】
Bangchao. Wang, Yang Deng, Ruiqi Luo and Huan Jin, An Empirical Study on Source Code Feature Extraction in Preprocessing of IR-Based Requirements Traceability, 2022 IEEE 22nd International Conference on Software Quality, Reliability and Security (QRS), Guangzhou, China, 2022, pp. 1069-1078, doi: 10.1109/QRS57517.2022.00110.【PDF】
2022
Yang Deng, Hongyan Wan, Huan Jin, and Xinyi Lan, Multitype2pajek: An Improved Tool for Typical Relational Data Pre-Processing, ISSSR, 2022. 【PDF】
Bangchao Wang, Heng Wang, Ruiqi Luo, Sen Zhang, Qiang Zhu, A Systematic Mapping Study of Information Retrieval Approaches Applied to Requirements Trace Recovery, in: Proceedings of the 34th International Conference on Software Engineering and Knowledge Engineering (SEKE'22), 2022, doi: 10.18293/SEKE2022-098.【PDF】
Xingfu Li, Z. Hua, H. Jin, X. Lan and B. Wang, "Chinese Comments Classification and Hotspot Mining Algorithm based on Natural Language Processing," ISSSR, 2022, doi: 10.1109/ISSSR56778.2022.00019.【PDF】
Ruiqi Luo,Bangchao Wang, Yu Feng, Zaihui Deng, and Xian Zhong, Conceptual Semantic Enhanced Representation Learning for Event Recognition in Still Images，Connection Science, 2022. 【PDF】
2021
翁子扬,王帮超,王文慧.基于图情景感知计算的舆图信息元学习框架[J].图书情报知识, 2021, 38 (3): 61-73.【PDF】
Qiang Zhu, Qinghui Dai,Bangchao Wang,Jinxing Liang, Junping Liu, Li Li, Xinrong Hu: VHINFGM: Virus-Host Interaction prediction via Network Fusion and Graph Mining. BIBM 2021: 2977-2984.【PDF】
Ruiqi Luo,Bangchao Wang, Xian Zhong: MDD4CER: Efficient Complex Event Recognition with Multiple-value Decision Diagram. QRS Companion 2021: 1165-1166.【PDF】
