|
房春荣，博士，准聘副教授、特聘研究员，博士生导师，紫金学者，南京大学 - 数兑联合研究中心主任，CCF高级会员，系统软件/容错计算专委会委员，江苏省数字经济学会委员，江苏省软件工程标准化技术委员会委员，主要从事智能软件工程研究(BigCode & AITesting)。主持国家自然科学基金项目/重点课题4项，国家重点研发项目子课题1项、骨干3项，省重点研发项目骨干1项，教育部产学合作协同育人项目3项，横向科研项目若干。曾担任AST、AIST、ISSSR等国际会议程序委员会共同主席，FSE、ASE、ISSTA等国际会议程序委员会委员，TSE、TOSEM等期刊审稿人。以一作/通讯作者在ICSE、FSE、ASE、ISSTA、TSE、TOSEM、TIFS、TDSC、SCIS等CCF-A会议/期刊发表论文70余篇，获得国际会议最佳论文2项，授权发明专利20余项，部分成果在华为、百度等知名企业应用。参编多项软件工程和工业APP相关国家、省、团体标准。获国家级教学成果奖，省部级科技进步奖，CCF TCFTC软件测试青年创新奖，国家级一流本科课程、国家精品在线开放课程《软件测试》。 欢迎有志于AI&Testing方向的同学加入！
教学 l 计算系统基础（大一） l 计算与软件工程II（大二） l 人工智能驱动的数据管理（大二） l 计算与软件工程III（大三） l 软件测试（大三、研一） l Yuchen Chen, Yuan Xiao, Chunrong Fang, Zhenyu Chen, Baowen Xu, DuCodeMark: Dual-Purpose Code Dataset Watermarking via Style-Aware Watermark–Poison Design, FSE 2026. l Haocheng Huang, Yuchen Chen, Weisong Sun, Peizhuo Lv, Yuan Xiao, Chunrong Fang, Yang Liu, Xiaofang Zhang, SPuzzleMark: Implicit Jigsaw Learning for Robust Code Dataset Watermarking in Neural Code Completion Models, FSE 2026. l Ruixiang Qian, Chunrong Fang, Zengxu Chen, Youxin Fu, Zhenyu Chen, Peeling off the Cocoon: Unveiling Suppressed Golden Seeds for Mutational Greybox Fuzzing, OOPSLA 2026. l Xiaoqing Sun, Zhou Shao, Xiaonan Shi, Chunrong Fang, Shiliang Xiao, Chao Ma, Xiaobo Xue, Jianyuan Lu, Shize Zhang, Enge Song, Yang Song, Xing Li, Chongrong Fang, Biao Lyu, Shunmin Zhu, Enabling Black-box RPC-API Testing with Multi-Agent Reinforcement Learning and LLMs: An Industry Case Study, ICSE-SEIP 2026. l Tingting Xu, Chunrong Fang, Hanwei Qian, Xia Feng, Weisong Sun, Prompt Learning for Source Code Summarization, QRS 2025. l Yanzhou Mu, Rong Wang, Juan Zhai, Chunrong Fang, Xiang Chen, Peiran Yang, Zhixiang Cao, Ruixiang Qian, Shaoyu Yang, Zhenyu Chen, Deep Learning Framework Testing via Model Mutation: How Far Are We?, TSE 2025. l Xiuting Ge, Chunrong Fang, Quanjun Zhang, Daoyuan Wu, Bowen Yu, Qirui Zheng, An Guo, Shang-wei Lin, Zhihong Zhao, Yang Liu, Zhenyu Chen, Pre-trained Model-based Actionable Warning Identification: A Feasibility Study, TOSEM 2025. l An Guo, Zhiwei Su, Xinyu Gao, Chunrong Fang, Senrong Wang, Haoxiang Tian, Wu Wen, Lei Ma, Zhenyu Chen, Spatial Semantic Fuzzing for LiDAR-based Autonomous Driving Perception Systems, TSE 2025. l Yuchen Chen, Weisong Sun, Chunrong Fang, Quanjun Zhang, Zhenyu Chen, Xiangyu Zhang, Hidden Backdoor Attack against Neural Code Search Models, TOSEM 2025. l Shengcheng Yu, Chunrong Fang, Ziyuan Tuo, Quanjun Zhang, Chunyang Chen, Zhenyu Chen, Zhendong Su, Vision-Based Mobile App GUI Testing: A Survey, CSUR 2025. l Yinglong Zou, Juan Zhai, Chunrong Fang, An Guo, Jiawei Liu, Zhenyu Chen, Scalpel: Automotive Deep Learning Framework Testing via Assembling Model Components, ICSE 2026 l Hanwei Qian, Wei Liu, Tingting Xu, Jie Yin, Xia Feng, Weisong Sun, Ziqi Ding, Yuchen Chen, Yun Miao, Jiaxun Li, Jianhua Zhao, Chunrong Fang, A Survey of Learning-based Method Name Prediction, TOSEM 2025. l Quanjun Zhang, Chunrong Fang, Yang Xie, Yaxin Zhang, Shengcheng Yu, Weisong Sun, Yun Yang, Zhenyu Chen, A Survey on Large Language Models for Software Engineering, SCIS 2025. l An Guo, Shuoxiao Zhang, Enyi Tang, Xinyu Gao, Haomin Pang, Haoxiang Tian, Yanzhou Mu, Wu Wen, Chunrong Fang, Zhenyu Chen, When Autonomous Vehicle Meets V2X Cooperative Perception: How Far Are We? ASE 2025. l Tingxu Han, Weisong Sun, Yanrong Hu, Chunrong Fang, Yonglong Zhang, Shiqing Ma, Tao Zheng, Zhenyu Chen, Zhenting Wang, Continuous Concepts Removal in Text-to-image Diffusion Models, NIPS 2025. l Siqi Gu, Chunrong Fang, Quanjun Zhang, Zhenyu Chen, ACTesting: Automated Cross-modal Testing Method of Text-to-Image Software, TOSEM 2025. l Yuchen Ling, Shengcheng Yu, Chunrong Fang, Quan Zhou, Chen, Zhenyu Chen, LLM-based Crowdsourced Test Report Clustering, TOSEM 2025. l Tingxu Han, Zhenting Wang, Chunrong Fang, Shiyu Zhao, Shiqing Ma, Zhenyu Chen, Token-Budget-Aware LLM Reasoning, ACL Findings 2025. l Yuchen Chen, Weisong Sun, Chunrong Fang, Zhenpeng Chen, Yifei Ge, Tingxu Han, Quanjun Zhang, Yang Liu, Zhenyu Chen, Baowen Xu, Security of Language Models for Code: A Systematic Literature Review, TOSEM 2025. l Yanzhou Mu, Juan Zhai, Chunrong Fang, Xiang Chen, Zhixiang Cao, Peiran Yang, Kexin Zhao, An Guo, Zhenyu Chen, Improving Deep Learning Framework Testing with Model-Level Metamorphic Testing, ISSTA 2025. l Yuan Xiao, Yuchen Chen, Shiqing Ma, Haocheng Huang, Chunrong Fang, Yanwei Chen, Weisong Sun, Yunfeng Zhu, Xiaofang Zhang, Zhenyu Chen, DeCoMa: Detecting and Purifying Code Dataset Watermarks through Dual Channel Code Abstraction, ISSTA 2025. l Shengcheng Yu, Chunrong Fang, Jia Liu, Zhenyu Chen, Test Script Intention Generation for Mobile Application via GUI Image and Code Understanding, TSE 2025. l Yuan Xiao, Yuchen Chen, Shiqing Ma, Chunrong Fang, Tongtong Bai, Mingzheng Gu, Yuxin Cheng, Yanwei Chen, Zhenyu Chen, Tightening Robustness Verification of MaxPool-based Neural Networks via Minimizing the Over-Approximation Zone, CVPR 2025. l Tingxu Han, Weisong Sun, Ziqi Ding, Chunrong Fang, Hanwei Qian, Jiaxun Li, Zhenyu Chen, Guanhong Tao, Xiangyu Zhang, Mutual Information Guided Backdoor Mitigation for Pre-trained Encoders, TIFS 2025. l Quanjun Zhang, Chunrong Fang, Yi Zheng, Yaxin Zhang, Yuan Zhao, Rubing Huang, Jianyi Zhou, Yun Yang, Tao Zheng, Zhenyu Chen, Improving Deep Assertion Generation via Fine-Tuning Retrieval-Augmented Pre-trained Language Models, TOSEM 2025. l Quanjun Zhang, Chunrong Fang, Yi Zheng, Ruixiang Qian, Shengcheng Yu, Yuan Zhao, Jianyi Zhou, Yun Yang, Tao Zheng, Zhenyu Chen, Improving Retrieval-Augmented Deep Assertion Generation via Joint Training, TSE 2025. l Weisong Sun, Yuchen Chen, Mengzhe Yuan, Chunrong Fang, Zhenpeng Chen, Chong Wang, Yang Liu, Baowen Xu, Zhenyu Chen, Show Me Your Code! Kill Code Poisoning: A Lightweight Method Based on Code Naturalness, ICSE 2025 l Weisong Sun, Yuchen Chen, Chunrong Fang, Yebo Feng, Yuan Xiao, An Guo, Quanjun Zhang, Zhenyu Chen, Baowen Xu, Yang Liu, Eliminating Backdoors in Neural Code Models for Secure Code Understanding, FSE 2025. l Jiawei Liu, Xufan Zhang, Lurong Xu, Chunrong Fang, Mingzheng Gu, Weisi Luo, Dong Chai, Jiang Wang, Zhihong Zhao, Zhenyu Chen, Automated Detection and Repair of Floating-point Precision Problems in Convolutional Neural Network Operators, TOSEM 2025. lYe Shang, Quanjun Zhang, Chunrong Fang, Siqi Gu, Jianyi Zhou, Zhenyu Chen, A Large-scale Empirical Study on Fine-tuning Large Language Models for Unit Testing, ISSTA 2025. l Mingying Fang, Xing Yuan, Yuying Li, Haojie Li, Chunrong Fang, Junwei Du, Enhanced Prompting Framework for Code Summarization with Large Language Models, ISSTA 2025. l Chunrong Fang, Shengcheng Yu, Quanjun Zhang, Xin Li, Yulei Liu, Zhenyu Chen, Enhanced Crowdsourced Test Report Prioritization via Image-and-Text Semantic Understanding and Feature Integration, TSE 2024. l Weisong Sun, Yun Miao, Yuekang Li, Hongyu Zhang, Chunrong Fang, Yi Liu, Gelei Deng, Yang Liu, Zhenyu Chen, Source Code Summarization in the Era of Large Language Models, ICSE 2025. l Xiuting Ge, Chunrong Fang, Xuanye Li, Qirui Zheng, Jia Liu, Zhihong Zhao, Zhenyu Chen, A Large-scale Empirical Study of Actionable Warning Distribution within Projects, TDSC 2024. l Ruixiang Qian, Quanjun Zhang, Chunrong Fang, Lihua Guo, Zhenyu Chen, FunFuzz: Greybox Fuzzing with Function Significance, TOSEM 2024. l Quanjun Zhang, Weifeng Sun, Chunrong Fang, Bowen Yu, Hongyan Li, Meng Yan, Jianyi Zhou, Zhenyu Chen, Exploring Automated Assertion Generation via Large Language Models, TOSEM 2024. l Xiuting Ge, Chunrong Fang, Xuanye Li, Weisong Sun, Daoyuan Wu, Juan Zhai, Shangwei Lin, Zhihong Zhao, Yang Liu, Zhenyu Chen, Machine Learning for Actionable Warning Identification: A Comprehensive Survey, CSUR 2025. l Yanzhou Mu, Juan Zhai, Chunrong Fang, Xiang Chen, Zhixiang Cao, Peiran Yang, Yinglong Zou, Tao Zheng, Zhenyu Chen, DevMuT: Testing Deep Learning Framework via Developer Expertise-Based Mutation, ASE 2024. l Yinglong Zou, Juan Zhai, Chunrong Fang, Jiawei Liu, Tao Zheng, Zhenyu Chen, Mutation-Based Deep Learning Framework Testing Method in JavaScript Environment, ASE 2024. l An Guo, Yuan Zhou, Haoxiang Tian, Chunrong Fang, Yunjian Sun, Weisong Sun, Xinyu Gao,Luu Anh Tuan, Yang Liu, Zhenyu Chen, SoVAR: Build Generalizable Scenarios from Accident Reports for Autonomous Driving Testing, ASE 2024. l An Guo, Xinyu Gao, Zhenyu Chen, Yuan Xiao, Jiakai Liu, Xiuting Ge, Weisong Sun, Chunrong Fang, CooTest: An Automated Testing Approach for V2X Communication Systems, ISSTA 2024. l Chunrong Fang, Weisong Sun, Yuchen Chen, Xiao Chen, Zhao Wei, Quanjun Zhang, Yudu You, Bin Luo, Yang Liu, Zhenyu Chen, ESALE: Enhancing Code-Summary Alignment Learning for Source Code Summarization, TSE 2024. l Shengcheng Yu, Chunrong Fang, Mingzhe Du, Zimin Ding, Zhenyu Chen, Zhendong Su, Practical, Automated Scenario-based Mobile App Testing, TSE 2024. l Shengcheng Yu, Chunrong Fang, Xin Li, Yuchen Ling, Zhenyu Chen, Zhendong Su, Effective, Platform-Independent GUI Testing via Image Embedding and Reinforcement Learning, TOSEM 2024. l Jiawei Liu, Zhijie Wang, Lei Ma, Chunrong Fang, Tongtong Bai, Xufan Zhang, Jia Liu and Zhenyu Chen, Benchmarking Object Detection Robustness against Real-World Corruptions, IJCV 2024. l Zixiang Xian, Rubing Huang, Dave Towey, Chunrong Fang and Zhenyu Chen, TransformCode: A Contrastive Learning Framework for Code Embedding via Subtree Transformation, TSE 2024. l Shengcheng Yu, Chunrong Fang, Quanjun Zhang, Mingzhe Du, Jia Liu and Zhenyu Chen, Semi-Supervised Crowdsourced Test Report Clustering via Screenshot-Text Binding Rules, FSE 2024. l Weisong Sun, Chunrong Fang, Yifei Ge, Yuling Hu, Yuchen Chen, Quanjun Zhang, Xiuting Ge, Yang Liu and Zhenyu Chen, A Survey of Source Code Search: A 3-Dimensional Perspective, TOSEM 2024. l Ruixiang Qian, Quanjun Zhang, Chunrong Fang, Ding Yang, Shun Li, Binyu Li and Zhenyu Chen, DiPri: Distance-based Seed Prioritization for Greybox Fuzzing, TOSEM 2024. l Yuan Xiao, Shiqing Ma, Juan Zhai, Chunrong Fang, Jinyuan Ji and Zhenyu Chen, Towards General Robustness Verification of MaxPool-based Convolutional Neural Networks via Tightening Linear Approximation, CVPR 2024. l Quanjun Zhang, Chunrong Fang, Weisong Sun, Yan Liu, Tieke He, Xiaodong Hao and Zhenyu Chen, APPT: Boosting Automated Patch Correctness Prediction via Fine-tuning Pre-trained Models, TSE 2024. l Xiuting Ge, Chunrong Fang, Xuanye Li, Quanjun Zhang, Jia Liu, Zhihong Zhao and Zhenyu Chen, Improving Actionable Warning Identification via the Refined Warning-inducing Context Representation, SCIS 2024. l Zhichao Zhou, Yuming Zhou, Chunrong Fang, Zhenyu Chen, Xiapu Luo, Jingzhu He and Yutian Tang, Coverage Goal Selector for Combining Multiple Criteria in Search-Based Unit Test Generation, TSE 2024. l Shengcheng Yu, Chunrong Fang, Mengzhe Du, Yuchen Ling, Zhenyu Chen and Zhendong Su, Practical Non-Intrusive GUl Exploration Testing with Visual-based Robotic Arms, ICSE 2024. l Quanjun Zhang, Juan Zhai, Chunrong Fang, Jiawei Liu, Weisong Sun, Haichuan Hu and Qingyu Wang, Machine Translation Testing via Syntactic Tree Pruning, TOSEM 2023. l Weisong Sun, Chunrong Fang, Yuchen Chen, Quanjun Zhang, Guanhong Tao, Yudu You, Tingxu Han, Yifei Ge, Yuling Hu, Bin Luo and Zhenyu Chen, An Extractive-and-Abstractive Framework for Source Code Summarization, TOSEM 2023. l Quanjun Zhang, Chunrong Fang, Yuxiang Ma, Weisong Sun and Zhenyu Chen, A Survey of Learning-based Automated Program Repair, TOSEM 2023. l Jiawei Liu, Yuheng Huang, Zhijie Wang, Lei Ma, Chunrong Fang, Mingzheng Gu, Xufan Zhang and Zhenyu Chen, Generation-Based Differential Fuzzing for Deep Learning Libraries, TOSEM 2023. l Quanjun Zhang, Chunrong Fang, Bowen Yu, Tongke Zhang, Weisong Sun and Zhenyu Chen, Pre-trained Model-based Automated Software Vulnerability Repair: How Far are We?, TDSC 2023. l Quanjun Zhang, Chunrong Fang, Tongke Zhang, Bowen Yu, Weisong Sun and Zhenyu Chen, GAMMA: Revisiting Template-based Automated Program Repair via Mask Prediction, ASE 2023. l Xin Li, Shengcheng Yu, Lifan Sun, Yuexiao Liu, and Chunrong Fang, Towards Effective Bug Reproduction for Mobile Applications, DSA 2023. l Yi Zhong, Mengyu Shi, Jiawei He, Chunrong Fang and Zhenyu Chen, Security-based code smell definition, detection, and impact quantification in Android, Software: Practice and Experience 2023. l Zhida Bao, Jiawei He, Quanjun Zhang, Chunrong Fang, Keshav Sood and Yun Lin, OATGA: Optimizing Adversarial Training via Genetic Algorithm for Automatic Modulation Classification, Globecom 2023. l Ruixiang Qian, Quanjun Zhang, Chunrong Fang and Zhenyu Chen, Distance-based Seed Selection for Greybox Fuzzing, FUZZING 2023. l Shengcheng Yu, Chunrong Fang, Quanjun Zhang, Zhihao Cao, Yexiao Yun, Zhenfei Cao, Kai Mei and Zhenyu Chen, Mobile App Crowdsourced Test Report Consistency Detection via Deep Image-and-Text Fusion Understanding, TSE 2023. l Weisong Sun, Yuchen Chen, Guanhong Tao, Chunrong Fang, Xiangyu Zhang, Quanjun Zhang and Bin Luo, Backdooring Neural Code Search, ACL 2023. l Xiuting Ge, Chunrong Fang, Jia Liu, Mingshuang Qing, Xuanye Li and Zhihong Zhao, An unsupervised feature selection approach for actionable warning identification, ESWA 2023. l Yinglong Zou, Haofeng Sun, Chunrong Fang, Jiawei Liu and Zhenping Zhang, Deep Learning Framework Testing via Hierarchical and Heuristic Model Generation, JSS 2023. l Chunrong Fang, Shengcheng Yu, Ting Su, Jing Zhang, Yuanhan Tian and Yang Liu, Test Report Generation for Android App Testing via Heterogeneous Data Analysis, TSE 2023. l Xiuting Ge, Chunrong Fang, Tongtong Bai, Jia Liu and Zhihong Zhao, An Empirical Study of Class Rebalancing Methods for Actionable Warning Identification, TR 2023. l Xiuting Ge, Shengcheng Yu, Chunrong Fang, Qi Zhu and Zhihong Zhao, Leveraging Android Automated Testing to Assist Crowdsourced Testing, TSE 2023. l Mingzhe Du, Shengcheng Yu, Chunrong Fang, Tongyu Li, Heyuan Zhang and Zhenyu Chen, SemCluster: A Semi-Supervised Clustering Tool for Crowdsourced Test Reports with Deep Image Understanding, ESEC/FSE 2022 Demo. l Zhichao Zhou, Yuming Zhou, Chunrong Fang, Zhenyu Chen and Yutian Tang, Selectively Combining Multiple Coverage Goals in Search-Based Unit Test Generation, ASE 2022. l Jiawei He, Zhida Bao, Quanjun Zhang, Weisong Sun, Jiawei Liu, Chunrong Fang and Yun Lin, ElecDaug: Electromagnetic Data Augmentation for Model Repair based on Metamorphic Relation, ASE 2022 Demo. l Guanhong Tao, Weisong Sun, Tingxu Han, Chunrong Fang and Xiangyu Zhang, RULER: Discriminative and Iterative Adversarial Training for Deep Neural Network Fairness, ESEC/FSE 2022. l Weisong Sun, Quanjun Zhang, Chunrong Fang, Yuchen Chen, Xingya Wang and Ziyuan Wang, Test Case Recommendation based on Balanced Distance of Test Targets, Information and Software Technology, 2022. l Quanjun Zhang, Chunrong Fang, Weisong Sun, Shengcheng Yu, Yutao Xu and Yulei Liu, Test Case Prioritization Using Partial Attention, Journal of Systems & Software, 2022. l Ziqian Zhang, Yulei Liu, Shengcheng Yu, Xin Li, Yexiao Yun, Chunrong Fang and Zhenyu Chen, UniRLTest: Universal Platform-Independent Testing with Reinforcement Learning via Image Understanding, ISSTA 2022 demo. l Ruixiang Qian, Quanjun Zhang, Chunrong Fang and Lihua Guo, Investigating Coverage Guided Fuzzing with Mutation Testing, Internetware 2022. l Wei Yuan, Quanjun Zhang, Tieke He, Chunrong Fang, Nguyen Quoc Viet Hung, Xiaodong Hao and Hongzhi Yin, CIRCLE: Continual Repair across Programming Languages, ISSTA 2022. l Xiuting Ge, Chunrong Fang, Meiyuan Qian, Yu Ge and Mingshuang Qing, Locality-based Security Bug Report Identification via Active Learning, Information and Software Technology, 2022. l Ju Lin, Jiawei Liu, Quanjun Zhang, Xufan Zhang and Chunrong Fang, TauLiM: Test Data Augmentation of LiDAR Point Cloud by Metamorphic Relation, ICSE 2022 Demo. l Guandi Liu, Jiawei Liu, Quanjun Zhang, Chunrong Fang and Xufan Zhang,TauPad: Test Data Augmentation of Point Clouds by Adversarial Mutation, ICSE 2022 Demo. l Weisong Sun, Chunrong Fang, Yuchen Chen, Guanhong Tao, Tingxu Han and Quanjun Zhang, Code Search based on Context-aware Code Translation, ICSE 2022. l Xufan Zhang, Jiawei Liu, Ning Sun, Chunrong Fang, Jia Liu, Dong Chai, Jiang Wang and Zhenyu Chen, Duo: Differential Fuzzing for Deep Learning Operators, IEEE Transactions on Reliability, 2021. l Yunhan Hou, Jiawei Liu, Daiwei Wang, Jiawei He, Chunrong Fang and Zhenyu Chen, TauMed: Test Augmentation of Deep Learning in Medical Diagnosis, ISSTA 2021 Tools. l Xufan Zhang, Ning Sun, Chunrong Fang, Jiawei Liu, Jia Liu, Dong Chai, Jiang Wang and Zhenyu Chen, Predoo: Precision Testing of Deep Learning Operators, ISSTA 2021. l Ye Ni, Zhilong Xia, Fangtong Zhao, Chunrong Fang and Zhenyu Chen, An Online Multi-step-forward Voltage Prediction Approach based on LSTM-TD Model and KF Algorithm, Computer, 2021. l Shengcheng Yu, Chunrong Fang, Yexiao Yun and Yang Feng, Layout and Image Recognition Driving Cross-platform Automated Mobile Testing, ICSE 2021. l Shengcheng Yu, Chunrong Fang, Zhenfei Cao, Xu Wang, Tongyu Li and Zhenyu Chen, Prioritize Crowdsourced Test Reports via Deep Screenshot Understanding, ICSE 2021. l Weisi Luo, Xiaoyue Run, Dong Chai, Jiang Wang, Chunrong Fang and Zhenyu Chen, Graph-based Fuzz Testing for Deep Learning Inference Engine, ICSE 2021. l Zhenfei Cao, Xu Wang, Shengcheng Yu, Yexiao Yun and Chunrong Fang, STIFA: Crowdsourced Mobile Testing Report Selection Based on Text and Image Fusion Analysis, ASE 2020 Tools. l Chenqian Zhu, Weisong Sun, Qin Liu, Yangyang Yuan, Chunrong Fang and Yong Huang, HomoTR: Online Test Recommendation System Based on Homologous Code Matching, ASE 2020 Tools. l Juan Zhai, Yu Shi, Minxue Pan, Guian Zhou, Yongxiang Liu, Chunrong Fang, Shiqing Ma, Lin Tan and Xiangyu Zhang, C2S: Translating Natural Language Comments to Formal Program Specifications, ESEC/FSE 2020. l Chunrong Fang, Zixi Liu, Yangyang Shi, Jeff Huang and Qingkai Shi, Functional Code Clone Detection with Syntax and Semantics Fusion Learning, ISSTA 2020. l Yang Feng, Qingkai Shi, Xinyu Gao, Jun Wan, Chunrong Fang and Zhenyu Chen, DeepGini: Prioritizing Massive Tests to Enhance the Robustness of Deep Neuron Networks, ISSTA 2020. l Yuanhan Tian, Shengcheng Yu, Chunrong Fang and Peiyuan Li, FuRong: Fusing Report of Automated Android Testing on Multi-Devices, ICSE 2020 Demos. 科研服务 l Vice Chapter Chair: Nanjing Section Chapter, IEEE Reliabity Society l Guest Editor: STVR2023, JSEP 2022, Applied Sciences 2022, 《计算机工程》青年编委 l PC Chair: AST@ICSE2013, AIST 2020 l PC Member: FSE2025,ISSTA2025,ASE2024, ISSTA2024, ISSRE2023, PRDC2023, ISSTA(Demo)2023, ASE2023, FSE2023，ASE2022, ISSRE2021、2022, COMPSAC2021, ICSE(DEMO) 2022, ASE(DEMO) 2020、2021、2022, ICSME(DEMO) 2020, AITest 2020, 2021, IBF 2020, CCF-CFTC 2020、2021 l Journal Reviewer: TSE, TOSEM, TR, JSS, JSEP, TPDC l 国家标准： u GB/T 41905-2022 软件与系统工程 软件测试工具能力 u GB/T 25000.21-2019 系统与软件工程 系统与软件质量要求和评价(SQuaRE) 第21部分：质量测度元素 u GB/T 25000.22-2019 系统与软件工程 系统与软件质量要求和评价(SQuaRE) 第22部分：使用质量测量 u GB/T 25000.23-2019 系统与软件工程 系统与软件质量要求和评价(SQuaRE) 第23部分：系统与软件产品质量测量 u GB/T 37729-2019 信息技术 智能移动终端应用软件（APP）技术要求 l 测试大赛：[大赛主页] l 专利著作权：参见[iSE专利] l 工具原型：参见[iSE工具] |
