| 2024 | Using $\mu \text{Bert}$ to Improve Mutation-Based Fault Localization for Novice Programs. | Yuxing Liu, Jiaxi Li, Haiyang Wu, Xuchuan Zhou, Hengyuan Liu |
| 2024 | Test Adequacy Criteria for Metamorphic Testing. | Yanwen Liu, Ruifeng Li, Hao Tao, Zheng Zheng |
| 2024 | The Colour Temperature Intensity Adjusting Model for Improving Naked Eye 3D Holographic Computer Projection. | Yinwei Liu, Yuchen Jiang |
| 2024 | FMCS: Improving Code Search by Multi-Modal Representation Fusion and Momentum Contrastive Learning. | Wenjie Liu, Gong Chen, Xiaoyuan Xie |
| 2024 | An Approach to Optimize Symbolic Execution in Ethereum Smart Contracts. | Yi Liu, Lizhi Cai, Chenchen Chai, Yuan Ma |
| 2024 | Reshaping and Transforming of English Teaching in Higher Education in the ChatGPT Era: An Empirical Study Based on Big Data. | Yani Liu |
| 2024 | An Ensemble Feature Selection Method Based on Symmetrical Uncertainty and Correlation for Software Defect Prediction. | Xuan Li, Qi Shao, Yuan Zhang, Jiangnan Wang |
| 2024 | Fine-tuning BERT for Intelligent Software System Fault Classification. | Yujia Li, Canwei Shi, Zhiyu Duan, Fang Liu, Minghao Yang |
| 2024 | Topology Design of Electronic and Electrical Architecture for Time-Sensitive Network. | Jiaxing Li, Yanzhao Su, Mengmeng Yang, Zonghui Li, Jin Huang, Zhihua Zhong |
| 2024 | A Fine-Grained Emotion Prediction Method Based on Large Language Models. | Fang Li, Yubin Qu, Chao Feng, Xianzhen Dou, Long Li |
| 2024 | OTCP-ISVM: Online Test Case Prioritization Based on Incremental Support Vector Machine. | Huaixu Lin, Bixin Li, Liang Liu, Lulu Wang, Jianming Chang |
| 2024 | Adaptive Metamorphic Testing for Object Detection Systems. | Ruifeng Li, Yanwen Liu, Chunjia Zhu, Zenghui Zhou, Zheng Zheng |
| 2024 | YOLO-TSD: A Recognition and Detection Method for Traffic Sign Based on YOLOv5. | Zhe Li, Zuchun Li, Jia Lu, Yimiao Zhang, Peng Ye |
| 2024 | Research on the Integration Method of Software Static Testing Tools Based on Machine Learning. | Xiaoliang Li, Yujia Li, Fang Liu, Fuping Zeng |
| 2024 | Heuristics for Strongly Killing Mutants in Software Mutation Testing. | Boyuan Li, Duo Li, Chao Guo, Jianghai Li, Xiaojin Huang |
| 2024 | How to Choose a Suitable Method in Image Semantic Segmentation-An Experimental Study. | Yuanbang Li, Jing Jiang, Chi Xu |
| 2024 | Temporal Knowledge Graph Reasoning with Dual Guiding Constraints. | Jinpeng Li, Shanshan Jiao, Shengming Guo, Xiangfeng Luo |
| 2024 | Research on Program Change Impact Analysis Methods Based on Software Networks. | Shiyong Li, Fei Deng, Xinglin Guo, Zhenxiao Sun, Zhuoliang Zou |
| 2024 | Detecting Bias in LLMs' Natural Language Inference Using Metamorphic Testing. | Zhahao Li, Jinfu Chen, Haibo Chen, Leyang Xu, Wuhao Guo |
| 2024 | Explainable AI Applied in Healthcare: A Case Study of Diabetes Prediction. | Shou-Yu Lee, William Cheng-Chung Chu, Yao-Hsien Tseng, You-Gang Zhang, Hung-Lung Tsai |
| 2024 | Ant Colony Optimization Based Algorithm for Test Path Generation Problem with Negative Constraints. | Matej Klima, Miroslav Bures, Martin Blaha |
| 2024 | Automated Machine Learning for Enhanced Software Reliability Growth Modeling: A Comparative Analysis with Traditional SRGMs. | Taehyoun Kim, Duksan Ryu, Jongmoon Baik |
| 2024 | Enhancing Software Reliability Growth Modeling: A Comprehensive Analysis of Historical Datasets and Optimal Model Selections. | Taehyoun Kim, Duksan Ryu, Jongmoon Baik |
| 2024 | GNN-Based Transfer Learning and Tuning for Detecting Code Vulnerabilities across Different Programming Languages. | Irfan Ali Khan, Yu Luo, Weifeng Xu, Dianxiang Xu |
| 2024 | cf-TDFM: A Framework for Limiting Fault Infusion Attacks on Deep Neural Networks. | Mehar Prateek Kalra, Soniya, Apurva Narayan |