Chao Ni

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 18

Top Topics

Defect Prediction

Specific Features

Semantic Representation

Top Venues

ESEC/SIGSOFT FSE

Publications

Yanming Yang, Xing Hu, Zhipeng Gao, Jinfu Chen, Chao Ni, Xin Xia, David Lo
Federated Learning for Software Engineering: A Case Study of Code Clone Detection and Defect Prediction. IEEE Trans. Software Eng. 50 (2) (2024)
Chao Ni, Liyu Shen, Xiaohu Yang, Yan Zhu, Shaohua Wang
MegaVul: A C/C++ Vulnerability Dataset with Comprehensive Code Representation. CoRR (2024)
Chao Ni, Xiaoya Wang, Liushan Chen, Dehai Zhao, Zhengong Cai, Shaohua Wang, Xiaohu Yang
CasModaTest: A Cascaded and Model-agnostic Self-directed Framework for Unit Test Generation. CoRR (2024)
Chao Ni, Liyu Shen, Xiaohu Yang, Yan Zhu, Shaohua Wang
MegaVul: A C/C++ Vulnerability Dataset with Comprehensive Code Representations. MSR (2024)
Xin Yin, Chao Ni, Shaohua Wang
Multitask-based Evaluation of Open-Source LLM on Software Vulnerability. CoRR (2024)
Yan Wang, Xiaoning Li, Tien Nguyen, Shaohua Wang, Chao Ni, Ling Ding
Natural Is The Best: Model-Agnostic Code Simplification for Pre-trained Large Language Models. CoRR (2024)
Yan Wang, Xiaoning Li, Tien N. Nguyen, Shaohua Wang, Chao Ni, Ling Ding
Natural Is the Best: Model-Agnostic Code Simplification for Pre-trained Large Language Models. Proc. ACM Softw. Eng. 1 (FSE) (2024)
Xin Yin, Chao Ni, Tien N. Nguyen, Shaohua Wang, Xiaohu Yang
Rectifier: Code Translation with Corrector via LLMs. CoRR (2024)
Jisheng Wang, Lingfeng Bao, Chao Ni
An Empirical Study of the Apache Voting Process on Open Source Community Governance. Internetware (2023)
Yanming Yang, Ying Zou, Xing Hu, David Lo, Chao Ni, John C. Grundy, Xin Xia
C³: Code Clone-Based Identification of Duplicated Components. ESEC/SIGSOFT FSE (2023)
Chao Ni, Xin Yin, Kaiwen Yang, Dehai Zhao, Zhenchang Xing, Xin Xia
Distinguishing Look-Alike Innocent and Vulnerable Code by Subtle Semantic Representation Learning and Explanation. CoRR (2023)
Chao Ni, Liyu Shen, Wei Wang, Xiang Chen, Xin Yin, Lexiao Zhang
FVA: Assessing Function-Level Vulnerability by Integrating Flow-Sensitive Structure and Code Statement Semantic. ICPC (2023)
Chao Ni, Xin Yin, Kaiwen Yang, Dehai Zhao, Zhenchang Xing, Xin Xia
Distinguishing Look-Alike Innocent and Vulnerable Code by Subtle Semantic Representation Learning and Explanation. ESEC/SIGSOFT FSE (2023)
Chao Ni, Kaiwen Yang, Yan Zhu, Xiang Chen, Xiaohu Yang
Unifying Defect Prediction, Categorization, and Repair by Multi-Task Deep Learning. ASE (2023)
Xiang Chen, Hongling Xia, Wenlong Pei, Chao Ni, Ke Liu
Boosting multi-objective just-in-time software defect prediction by fusing expert metrics and semantic metrics. J. Syst. Softw. 206 (2023)
Zhaoqiang Guo, Shiran Liu, Xutong Liu, Wei Lai, Mingliang Ma, Xu Zhang, Chao Ni, Yibiao Yang, Yanhui Li, Lin Chen, Guoqiang Zhou, Yuming Zhou
Code-line-level Bugginess Identification: How Far have We Come, and How Far have We Yet to Go? ACM Trans. Softw. Eng. Methodol. 32 (4) (2023)
Chao Ni, Xinrong Guo, Yan Zhu, Xiaodan Xu, Xiaohu Yang
Function-Level Vulnerability Detection Through Fusing Multi-Modal Knowledge. ASE (2023)
Chao Ni, Xiaodan Xu, Kaiwen Yang, David Lo
Boosting Just-in-Time Defect Prediction with Specific Features of C/C++ Programming Languages in Code Changes. MSR (2023)