Publications
已发表论文、专利、软件著作权、竞赛获奖。
论文
- Jiaming Zhang, Chang-ai Sun, Huai Liu, Sijin Dong. Can Large Language Models Discover Metamorphic Relations? A Large-Scale Empirical Study. Proceedings of the 32nd IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER ‘25). IEEE, 2025: 24-35. (CCF B 类国际会议)
- Chang-ai Sun, Shifan Liu, An Fu, Jiaming Zhang. CPMT: A collaborative metamorphic relations and test cases prioritization approach for Metamorphic Testing. Information and Software Technology, 2025: 107975. (CCF B 类国际期刊)
- Wei Jiang, Sijin Dong, Jiaming Zhang, Jin Tang, Zichao Zhang, Chang-ai Sun. Towards Mutation Testing of Embedded Software: A Framework and Case Study. Proceedings of the IEEE 35th International Symposium on Software Reliability Engineering Workshops (ISSREW ‘24). IEEE, 2024: 143-150.
- 崔展齐, 张家铭, 郑丽伟, 陈翔. 覆盖率制导的灰盒模糊测试研究综述. 计算机学报, 2024, 47(7): 1665-1696. (CCF T1、A 类中文期刊)
- Wenwei Lan, Jiaming Zhang, Huiwen Yang, Zhanqi Cui. A Directed Greybox Fuzzing Tool for Continuous Integration. SoftwareX, 2024, 27: 101824:1-101824:6. (SCI 四区)
- Jiaming Zhang, Zhanqi Cui, Xiang Chen, Huiwen Yang, Liwei Zheng, Jianbin Liu. CIDFuzz: Fuzz testing for continuous integration. IET Software, 2023, 17(3): 301-315. (CCF B 类国际期刊, SCI 四区)
- Wenwei Lan, Zhanqi Cui, Jiaming Zhang, Jun Yang, Xiguo Gu. Fuzz Testing Based on Seed Diversity Analysis. Proceedings of the 34th IEEE International Conference on Systems, Man, and Cybernetics (SMC ‘23). IEEE, 2023: 145-150. (CCF C 类国际会议)
- Jiaming Zhang, Zhanqi Cui, Xiang Chen, Huanhuan Wu, Liwei Zheng, Jianbin Liu. DeltaFuzz: Historical Version Information Guided Fuzz Testing. Journal of Computer Science and Technology, 2022, 37(1): 29-49. (CCF T1、B 类国际期刊, SCI 二区)
- Huiwen Yang, Jiaming Zhang, Xiguo Gu, Zhanqi Cui. Smart Contract Vulnerability Detection based on Abstract Syntax Tree. Proceedings of the 8th International Symposium on System and Software Reliability (ISSSR ‘22). IEEE, 2022: 169-170.
- Huanhuan Wu, Zheng Li, Zhanqi Cui, Jiaming Zhang. A Mutation-based Approach to Repair Deep Neural Network Models. Proceedings of the 8th International Conference on Dependable Systems and Their Applications (DSA ‘21). IEEE, 2021: 730-731.
专利
- 张家铭, 崔展齐. 一种面向持续集成过程的模糊测试方法. 202210850988.5（专利）
软件著作权
- 张家铭, 崔展齐. 循环代码片段制导的模糊测试软件 V1.0. 2022SR1543056（软件著作权）
竞赛获奖
- 2023.11 CCF & ATEC 第二届大学生区块链安全技术与创新应用竞赛，优胜奖
