研究方向：Web 应用分析与测试、依赖安全、大模型辅助程序分析

办公地点：重庆大学虎溪校区信息技术科研楼B707办公室

个人简介

刘心悦博士现为重庆大学大数据与软件学院弘深青年教师（Assistant Professor），2020年南京大学本科毕业后，前往美国纽约大学布法罗分校（SUNY, University at Buffalo），师从 Lukasz Ziarek，于2025年获得博士学位。现已加入张洪宇教授智能化软件工程团队。

个人研究领域为软件工程与编程语言理论。目前专注于人工智能辅助的 Web 应用程序分析与验证，尤其关注 Web 生态系统中的依赖安全的检测与修复。此外，对利用程序分析技术与大模型结合方法解决软件开发与维护中的各类问题都抱有广泛的兴趣。

长期欢迎学术交流，学生指导与企业合作。联系方式：aaronxyliu at cqu.edu.cn。

研究论文

[1] X. Liu, H. Cai, L. Ziarek, “PTV: Scalable Version Detection of Web Libraries and its Security Application,” the 48th IEEE/ACM International Conference on Software Engineering (ICSE 2026) (CCF-A). (接收率: 24.2%, 160/660)

[2] X. Liu, Z. Song, W. Fang, W. Yang, W. Wang, “WEFix: Intelligent Automatic Generation of Explicit Waits for Efficient Web End-to-End Flaky Tests,” The Web Conference 2024 (WWW 2024) (CCF-A). (接收率: 20.2%, 405/2008)

[3] X. Liu, L. Ziarek, "PTdetector: An Automated JavaScript Front-end Library Detector," 38th IEEE/ACM International Conference on Automated Software Engineering (ASE2023) (CCF-A). (接收率: 21%, 103/629)

[4] Y. Yan, Y. Zheng, X. Liu, N. Medvidovic, W. Wang, "AdHere: Automated Detection and Repair of Intrusive Ads," 45th IEEE/ACM International Conference on Software Engineering (ICSE 2021) (CCF-A). (接收率: 26%, 209/796)

[5] A. Romano, X. Liu, Y. Kwon, W. Wang, "An Empirical Study of Bugs in WebAssembly Compilers," 36th IEEE/ACM International Conference on Automated Software Engineering (ASE 2021) (CCF-A). (接收率: 19.2%, 82/427)

[6] X. Liu, Yanhui Li , "Is Bigger Data Better for Defect Prediction: Examining the Impact of Data Size on Supervised and Unsupervised Defect Prediction, " 12 pages, Sep. 2019, WISA 2019

更多信息参见个人博客：

https://aaronxyliu.github.io/about-me/