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简介 南京大学软件学院教授、博导，主要从事智能软件工程研究，长期致力于产教研融合。IEEE国际软件测试大赛发起人，江苏省计算机学会产业工委执行主任，CCF杰出会员与杰出讲者，国家级一流本科课程《软件测试》负责人，网信优秀人才，江苏省333高层次人才培养工程（第二层次），江苏省技术能手。担任ISSTA、ICSE、FSE、ASE等会议的程序委员会委员，IEEE Transactions on Reliability期刊Associate Editor。主持国家重点研发计划项目和课题各1项，主持国家自然科学基金重点项目1项。 在国际权威会议和期刊发表论文百余篇，多次荣获ACM SIGSOFT Distinguished Paper和IEEE QRS Best Paper。授权发明专利30余项，部分成果已经在华为、中国船舶、航天科工、国家电网、中国电科等知名企业转化，研究成果获2012年江苏省科学技术奖一等奖、2015年湖北省科技进步一等奖、2017年CCF NASAC青年软件创新奖、2018年国家级教学成果奖二等奖、2021年中国电子学会科技进步奖一等奖、2021年江苏省教学成果奖特等奖、2022年国家级教学成果奖一等奖和二等奖、2025年教育部-华为智能基座优秀教师。 教学工作 主要承担《软件测试》教学工作，MOOC请参阅中国大学MOOC和学习强国等平台 主编软件测试教材： Ø《软件测试基础》清华大学出版社 Ø《软件测试》电子工业出版社 全国大学生软件测试大赛请参阅mooctest.org 教学实践资源参阅慕测平台mooctest.net 代表性教学改革论文： ØMAF: Method-anchored Test Fragmentation for Test Code Plagiarism Detection. ICSE 2019 ØImproving Software Testing Education via Industry Sponsored Contests. FIE 2018 ØRevisit of Automatic Debugging via Human Focus-tracking Analysis. ICSE 2016 ØQuasi-Crowdsourcing Testing for Educational Projects. ICSE 2014 科研工作 主持的科研项目 Ø国家重点研发计划项目: 开源开放创新服务平台技术研发与应用示范（2025-2028） Ø国家自然科学基金重点项目: 智能软件系统的数据驱动测试方法与技术（2020-2024） Ø国家重点研发计划课题: 人民法院业务和数据标准研究和制定、司法基本服务库和案例筛选评估模型构建（2016-2020） Ø国家自然科学基金面上项目: 基于程序特征的测试数据多样性分析及其应用（2014-2017） Ø国家自然科学基金面上项目: 多阶段融合的测试用例演化技术（2012-2015） Ø国家自然科学基金青年基金：基于程序切片的软件测试优化技术（2009-2011） 参与的科研项目 Ø深港澳科技计划：面向6G泛在无线智联的韧性边缘智能系统关键技术研究（2024-2025） Ø国家重点研发计划项目: 信息产品及科技服务集成化众测服务平台研发与应用（2019-2021） Ø国家自然科学基金重大项目: 基于互联网群体智能的软件开发方法研究（2017-2022） Ø国家973计划：安全攸关软件系统的构造与质量保障方法研究（2014-2019） 部分代表性论文 数据基准集 TestBench: Evaluating Class-Level Test Case Generation Capability of Large Language Models. FCS 2025 Benchmarking Object Detection Robustness against Real-World Corruptions. IJCV 2024 Benchmarking Robustness of AI-enabled Multi-sensor Fusion Systems: Challenges and Opportunities. FSE 2023 综述论文 A Survey on Large Language Models for Software Engineering. SCIS 2025 A Survey of Learning-based Automated Program Repair. TOSEM 2023 Smart Contract Development: Challenges and Opportunities. TSE 2021 众包软件测试研究进展. 软件学报 2018 代码自动理解 Source Code Summarization in the Era of Large Language Models. ICSE 2025 ESALE: Enhancing Code-Summary Alignment Learning for Source Code Summarization. TSE 2024 A Survey of Source Code Search: A 3-dimensional Perspective. TOSEM 2023 TransformCode: a Contrastive Learning Framework for Code Embedding via Subtree Transformation. TSE 2024 An Extractive-and-abstractive Framework for Source Code Summarization. TOSEM 2024 代码自动修复 APPT: Boosting Automated Patch Correctness Prediction via Fine-tuning Pre-trained Models. TSE2024 A Survey of Learning-based Automated Program Repair. TOSEM 2023 GAMMA: Revisiting Template-based Automated Program Repair via Mask Prediction. ASE 2023 Pre-trained Model-based Automated Software Vulnerability Repair: How Far are We? TDSC 2023 代码大模型安全 DuCodeMark: Dual-Purpose Code Dataset Watermarking via Style-Aware Watermark–Poison Design. FSE 2026 Hidden Backdoor Attack against Neural Code Search Models. TOSEM 2025 Security of Language Models for Code: A Systematic Literature Review. TOSEM 2025 Mutual Information Guided Backdoor Mitigation for Pre-trained Encoders. T-IFS 2025 Show Me Your Code! Kill Code Poisoning : A Lightweight Method Based on Code Naturalness. ICSE 2025 单元测试生成 Improving LLM-based Unit Test Generation via Template-based Repair. arXiv TestART: Improving LLM-based Unit Test via Co-Evolution of Automated Generation and Repair Iteration. arXiv Improving Deep Assertion Generation via Fine-Tuning Retrieval-Augmented Pre-Trained Language Models. TOSEM 2025 Improving Retrieval-Augmented Deep Assertion Generation via Joint Training. TSE 2025 A Large-scale Empirical Study on Fine-tuning Large Language Models for Unit Testing. ISSTA 2025 Exploring Automated Assertion Generation via Large Language Models. TOSEM 2024 GUI测试生成 Vision-based Mobile APP GUI Testing: A Survey. CSUR 2025 Test Script Intention Generation for Mobile Application via GUI Image and Code Understanding. TOSEM 2025 基于大模型语义匹配的跨平台移动应用测试脚本录制回放. 软件学报 2025 Effective, Platform-Independent GUI Testing via Image Embedding and Reinforcement Learning. TOSEM 2024 Practical, Automated Scenario-based Mobile App Testing. TSE 2024 Practical Non-Intrusive GUI Exploration Testing with Visual-based Robotic Arms. ICSE 2024 SITAR: GUI Test Script Repair. TSE 2016 Virtual DOM Coverage for Effective Testing of Dynamic Web Applications. ISSTA 2014 智能系统测试理论与方法 Tightening Robustness Verification of MaxPool-based Neural Networks via Minimizing the Over-Approximation Zone. CVPR 2025 Towards General Robustness Verification of MaxPool-based Convolutional Neural Networks via Tightening Linear Approximation. CVPR 2024 Dynamic Data Fault Localization for Deep Neural Networks. FSE 2023 Qatest: A Uniform Fuzzing Framework for Question Answering Systems. ASE 2022 ASRTest: Automated Testing for Deep-neural-network-driven Speech Recognition Systems. ISSTA 2022 Adaptive Test Selection for Deep Neural Networks. ICSE 2022 DeepState: Selecting Test Suites to Enhance the Robustness of Recurrent Neural Networks. ICSE 2022 DialTest: Automated Testing for Recurrent-neural-network-driven Dialogue Systems. ISSTA 2021 Deepgini: Prioritizing Massive Tests to Enhance the Robustness of Deep Neural Networks. ISSTA 2020 Munn: Mutation Analysis of Neural Networks. QRS 2018 深度学习框架测试 Scalpel: Automotive Deep Learning Framework Testing via Assembling Model Components. ICSE 2026 Automated Detection and Repair of Floating-point Precision Problems in Convolutional Neural Network Operators. TOSEM 2025 Mutation-Based Deep Learning Framework Testing Method in JavaScript Environment. ASE 2024 Generation-based Differential Fuzzing for Deep Learning Libraries. TOSEM 2023 Duo: Differential Fuzzing for Deep Learning Operators. TRel 2022 Predoo: Precision Testing of Deep Learning Operators. ISSTA 2021 Graph-based Fuzz Testing for Deep Learning Inference Engines. ICSE 2021 自动驾驶与智能网联测试 When Autonomous Vehicle Meets V2X Cooperative Perception: How Far Are We? ASE 2025 Spatial Semantic Fuzzing for LiDAR-based Autonomous Driving Perception Systems TSE 2025 SoVAR: Build Generalizable Scenarios from Accident Reports for Autonomous Driving Testing ASE 2024 CooTest: An Automated Testing Approach for V2X Communication Systems. ISSTA 2024 Semantic-guided Fuzzing for Virtual Testing of Autonomous Driving Systems. JSS 2024 MultiTest: Physical-aware Object Insertion for Testing Multi-sensor Fusion Perception Systems. ICSE 2024 LiRTest: augmenting LiDAR point clouds for automated testing of autonomous driving systems. ISSTA 2022 众包与群体智能测试 Multi-dimensional Assessment of CrowdSourced Testing Reports via LLMs. ASE 2025 Enhanced Crowdsourced Test Report Prioritization via Image-and-Text Semantic Understanding and Feature Integration. TSE 2024 Semi-supervised Crowdsourced Test Report Clustering via Screenshot-Text Binding Rules. FSE 2024 Mobile APP Crowdsourced Test Report Consistency Detection via Deep Image-and-Text Fusion Understanding. TSE 2023 Intelligent Crowdsourced Testing. Springer 2022 Prioritize Crowdsourced Test Reports via Deep Screenshot Understanding. ICSE 2021 CTRAS: Crowdsourced Test Report Aggregation and Summarization. ICSE 2019 Successes, Challenges, and Rethinking–an Industrial Investigation on Crowdsourced Mobile Application Testing. EMSE 2019 Multi-objective Test Report Prioritization Using Image Understanding. ASE 2016 Test Report Prioritization to Assist Crowdsourced Testing. FSE 2015 学术论文详细清单参阅谷歌学术： |
