Xiaohu Yang 0001 - researchr alias

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Viewing Publication 1 - 8 from 8

2024

The Lost World: Characterizing and Detecting Undiscovered Test SmellsYanming Yang, Xing Hu 0008, Xin Xia 0001, Xiaohu Yang 0001. TOSEM, 33(3), March 2024. [doi]

2023

Function-Level Vulnerability Detection Through Fusing Multi-Modal KnowledgeChao Ni 0001, Xinrong Guo, Yan Zhu, Xiaodan Xu, Xiaohu Yang 0001. ASE 2023: 1911-1918 [doi]

Unifying Defect Prediction, Categorization, and Repair by Multi-Task Deep LearningChao Ni 0001, Kaiwen Yang, Yan Zhu, Xiang Chen 0005, Xiaohu Yang 0001. ASE 2023: 1980-1992 [doi]

Identify and Update Test Cases When Production Code Changes: A Transformer-Based ApproachXing Hu 0008, Zhuang Liu, Xin Xia 0001, Zhongxin Liu, Tongtong Xu, Xiaohu Yang 0001. ASE 2023: 1111-1122 [doi]

Towards More Realistic Evaluation for Neural Test Oracle GenerationZhongxin Liu, Kui Liu 0001, Xin Xia 0001, Xiaohu Yang 0001. ISSTA 2023: 589-600 [doi]

CCRep: Learning Code Change Representations via Pre-Trained Code Model and Query BackZhongxin Liu, Zhijie Tang, Xin Xia 0001, Xiaohu Yang 0001. ICSE 2023: 17-29 [doi]

From Misuse to Mastery: Enhancing Code Generation with Knowledge-Driven AI ChainingXiaoxue Ren, Xinyuan Ye, Dehai Zhao, Zhenchang Xing, Xiaohu Yang 0001. ASE 2023: 976-987 [doi]

Task Context: A Tool for Predicting Code Context Models for Software Development TasksYifeng Wang, Yuhang Lin, Zhiyuan Wan, Xiaohu Yang 0001. ICSE 2023: 156-160 [doi]

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