2022

[1] Sicong Cao, Xiaobing Sun, Lili Bo, Rongxin Wu, Bin Li, Chuanqi Tao. MVD: Memory-related Vulnerability Detection Based on Flow-Sensitive Graph Neural Networks. IEEE/ACM International Conference on Software Engineering,2022, 1456-1468.

[2] Zhou Zhou, Lili Bo, Xiaoxue Wu, Xiaobing Sun, Tao Zhang, Bin Li, Jiale Zhang, Sicong Cao. SPVF: Security Property Assisted Vulnerability Fixing via Attention-based Models.  Empirical Software Engineering, 2022.

[3] Xingqi Cheng, Xiaobing Sun, Lili Bo, Ying Wei. KVS: A Tool for Knowledge-Driven Vulnerability Searching. The ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE), 2022.

[4] Bin Li, Ying Wei, Xiaobing Sun, Lili Bo, Dingshan Chen, Chuanqi Tao. Towards the identification of bug entities and relations in bug reports. Automated Software Engineering, 2022, 29(1): 24

[5] Xiaobing Sun, Lili Li1, Lili Bo, Xiaoxue Wu, Ying Wei, Bin Li. Automatic Software Vulnerability Classification by Extracting Vulnerability Triggers. Journal of Software: Evolution and Process, 2022

[6] Zhen Ni, Lili Bo, Bin Li, Tianhao Chen, Xiaobing Sun, Xiaoxue Wu. An approach of method‐level bug localization. IET Software, 2022,16:422–437

[7] Fazli Subhan, Xiaoxue Wu, Lili Bo, Xiaobing Sun and Muhammad Rahman. A Deep Learning-Based Approach for Software Vulnerability Detection Using Code Metrics. IET Software,2022

[8] Lili Bo, Yue Li, Xiaobing Sun, Xiaoxue Wu, Bin Li. VulLoc: Vulnerability Localization Based on Inducing Commits and Fixing Commits. Frontiers of Computer Science, 2022

[9] Wei Zheng, Jingyuan Cheng, Xiaoxue Wu, Ruiyang Sun, Xiaolong Wang, Xiaobing Sun: Domain knowledge-based security bug reports prediction. Knowledge-Based Systems, 2022, 241

[10] Tao Zhang, Xiaobing Sun, Zibin Zheng, Ge Li. Intelligent analysis for software data: research and applications. Frontiers of Information Technology & Electronic Engineering,2022, 23(5): 661-663

[11] 薄莉莉，朱程，李斌，孙小兵. 文件信息增强的方法级软件缺陷定位，电子学报，2022.

2021

[1] Ying Wei, Xiaobing Sun, Lili Bo, Sicong Cao, Xin Xia, Bin Li. A comprehensive study on security bug characteristics. Journal of Software: Evolution and Process, 2021, 33(10)

[2] Cheng Zhou, Bin Li, Xiaobing Sun, Lili Bo. Why and what happened? Aiding bug comprehension with automated category and causal link identification. Empirical Software Engineering, 2021, 26(6): 118

[3] Yong Xu, Lili Bo, Xiaobing Sun, Bin Li, Jing Jiang, Wei Zhou. image2emmet: Automatic Code Generation from Web User Interface Image. Journal of Software: Evolution and Process, 2021, 33(8)

[4] Jinting Lu, Xiaobing Sun, Bin Li and Tao Zhang. BEAT: Considering Question Types for Bug Question Answering via Templates. Knowledge-Based Systems, Volume 225(4), August 2021,

[5] Sicong Cao, Xiaobing Sun, Lili Bo, Ying Wei and Bin Li. BGNN4VD: Constructing Bilateral Graph Neural-Network for Vulnerability Detection. Information and Software Technology, 2021, Volume 136, 106576

[6] Xiaobing Sun, Tianchi Zhou, Rongcun Wang, Yucong Duan, Lili Bo, Jianming Chang. Experience Report: Investigating Bug Fixes in Machine Learning Frameworks/Libraries. Frontiers of Computer Science, 2021

[7] Lili Bo, Xuanrui Zhu, Xiaobing Sun, Zhen Ni, Bin Li. Are Similar Bugs Fixed with Similar Change Operations? An Empirical Study. Chinese Journal of Electronics, 2021

[8] Ben Tang, Bin Li, Lili Bo, Xiaoxue Wu, Sicong Cao, Xiaobing Sun: GrasP: Graph-to-Sequence Learning for Automated Program Repair. QRS 2021: 819-828

[9] 李 斌, 陈定山, 孙小兵, 薄莉莉. 面向缺陷知识的多特征匹配搜索算法. 电子学报, 2021

[10] 涂良琼,孙小兵,张佳乐,蔡杰,李斌,薄莉莉. 智能合约漏洞检测工具研究综述. 计算机科学, 2021, 48(11): 79-88.

2020

[1] Zhen Ni, Bin Li, Xiaobing Sun, Tianhao Chen, Ben Tang, Xinchen Shi. Analyzing bug fix for automatic bug cause classification. Journal of Systems and Software, 2020, 142: 110538

[2] Cheng Zhou, Bin Li, Xiaobing Sun. Improving software bug-specific named entity recognition with deep neural network. Journal of Systems and Software, 2020, 165: 110572

2019

[1] Congying Xu, Bosen Min, Xiaobing Sun, Jiajun Hu, Bin Li and Yucong Duan. MULAPI: A Tool for API Method and Usage Location Recommendation. The International Conference on Software Engineering Proceeding (ICSE 2019), 2019. 【CCF推荐A类】

[2] Xiaobing Sun, Xin Peng, Kai Zhang, Yang Liu, Yuanfang Cai. How Security Bugs Are Fixed and What Can Be Improved: An Empirical Study with Mozilla. Science China Information Sciences, 2019. 【CCF推荐B类】

[3] Tianchi Zhou, Xiaobing Sun, Xin Xia, Bin Li, Xiang Chen: Improving defect prediction with deep forest. Information & Software Technology 114: 204-216 (2019)

2018

[1] Congying Xu, Xiaobing Sun, Bin Li, Xintong Lu, Hongjing Guo. MULAPI: Improving API Method Recommendation with API Usage Location. Journal of Systems and Software, 2018, 142: 195-205. [CCF推荐B类]

[2] Xiaobing Sun, Wenyuan Xu, Xin Xia, Xiang Chen, Bin Li. Personalized Project Recommendation on GitHub. Science China Information Sciences, 2018, 61(5): 050106. 【CCF推荐B类】

[3] Cheng Zhou. Intelligent Bug Fixing with Sofware Bug Knowledge Graph. The ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE), 2018【CCF推荐A类】

[4] Cheng Zhou, Bin Li, Xiaobing Sun, Hongjing Guo. Recognizing Software Bug-Specific Named Entity in Software Bug Repository. Proceedings of the International Conference on Program Comprehension (ICPC), 2018, 108-119. 【CCF推荐B类】

[5] 孙小兵,周澄,杨辉,李斌. 面向软件安全性bug修复的开发者推荐方法. 软件学报, 2018, ,29(8):2294-2305. 【一级学报】

[6] Xiaobing Sun, Hui Yang, Hareton LEUNG, Bin Li, Hanchao JERRY LI. Effectiveness of exploring historical commits for developer recommendation: an empirical study. Frontiers of Computer Science, 2018, 12 (3): 528-544.【CCF推荐C类】 [ Subject ][ Empirical results ]

[7] 孙小兵,王璐,王经纬,李斌.基于知识图谱的bug问题探索性搜索方法. 电子学报, 2018, 46 (7): 1578-1583. 【一级学报】

2017

[1] Xiaobing Sun, Hui Yang, Xin Xia, Bin Li. Enhancing Developer Recommendation with Supplementary Information via Mining Historical Commits. Journal of Systems and Software 2017,134: 355-368. 【SCI/EI，CCF推荐B类】

[2] Lu Wang, Xiaobing Sun, Jingwei Wang, Yucong Duan, Bin Li. Construct Bug Knowledge Graph for Bug Resolution. The 39th International Conference on Software Engineering Proceeding (ICSE 2017), 2017, 189-191. 【CCF推荐A类】

[3] Wenyuan Xu, Xiaobing Sun, Jiajun Hu, Bin Li. REPERSP: Recommending Personalized Software Projects on GitHub. IEEE International Conference on Software Maintenance and Evolution (ICSME2017), 2017, 648-652. 【CCF推荐B类】

[4] Xiaobing Sun, Tianchi Zhou, Genjie Li, Jiajun Hu, Hui Yang, Bin Li, An Empirical Study on Real Bugs for Machine Learning Programs, The 24th Asia-Pacific Software Engineering Conference (APSEC 2017), 2017, 348-357. 【CCF推荐C类】

[5] Wenyuan Xu, Xiaobing Sun, Xin Xia, Xiang Chen. Scalable Relevant Project Recommendation on GitHub. In: Proc. of the ACM Asia-Pacific Symposium on Internetware, 2017, 9:1-9:10.

[6] 孙小兵,刘湘月,李斌,张伟佳. 基于相关主题模型的程序网络自动构建与分析.电子学报, 2017, 45 (5): 1052-1056. 【一级学报】

[7] Xiaobing Sun, Xiangyue Liu, Bin Li, Bixin Li, David Lo, Lingzhi Liao. Clustering Classes in Packages for Program Comprehension. Journal of Scientific Programming, 2017, 3787053: 1-15. 【SCI/EI】

[8] Xiaobing Sun, Xiangyue Liu, Yucong Duan, Bin Li. Using Hierarchical Latent Dirichlet Allocation to Construct Feature Tree for Program Comprehension. Journal of Scientific Programming, 2017, 4382348: 1-11. 【SCI/EI】

[9] 柳郁,孙小兵,李斌. 面向Java程序包的代码概要自动生成技术研究.计算机科学与探索, 2017, 11 (2):212-220.

[10] 孙伟松,孙小兵,李斌,杨辉. 软件历史代码库词库自动构建技术及实现.中国科学技术大学学报, 2017 (1) :80-86. [ Tool Video ]