Author:
Li Xia,Jiang Jiajun,Benton Samuel,Xiong Yingfei,Zhang Lingming
Funder
Research and Development
National Science Foundation
National Natural Science Foundation of China
Cited by
13 articles.
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1. API Misuse Detection via Probabilistic Graphical Model;Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis;2024-09-11
2. A Real-Time Approach to Detecting API Abuses Based on Behavioral Patterns;2024 8th International Conference on Cryptography, Security and Privacy (CSP);2024-04-20
3. When Large Language Models Confront Repository-Level Automatic Program Repair: How Well They Done?;Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings;2024-04-14
4. Demystifying and Detecting Misuses of Deep Learning APIs;Proceedings of the IEEE/ACM 46th International Conference on Software Engineering;2024-04-12
5. Demystifying API misuses in deep learning applications;Empirical Software Engineering;2024-02-16