Detecting Duplications in Sequence Diagrams Based on Suffix Trees. - Hui Liu 003; Zhiyi Ma; Lu Zhang 023; Weizhong Shao (APSEC, 2006)

Scheduling of conflicting refactorings to promote quality improvement. - Hui Liu 003; Ge Li 001; Zhiyi Ma; Weizhong Shao (ASE, 2007)

Identifying Fragments to be Extracted from Long Methods. - Limei Yang; Hui Liu 003; Zhendong Niu (APSEC, 2009)

Facilitating software refactoring with appropriate resolution order of bad smells. - Hui Liu 003; Limei Yang; Zhendong Niu; Zhiyi Ma; Weizhong Shao (ESEC/SIGSOFT FSE, 2009)

Suffix tree-based approach to detecting duplications in sequence diagrams. - Hui Liu 003; Zhendong Niu; Zhiyi Ma; Weizhong Shao (IET Softw., 2011)

An Initial Study on Refactoring Tactics. - Hui Liu 003; Yuan Gao; Zhendong Niu (COMPSAC, 2012)

Risk-driven Non-functional Requirement Analysis and Specification. - Yi Liu; Zhiyi Ma; Hui Liu 003; Weizhong Shao (SEKE, 2012)

Schedule of Bad Smell Detection and Resolution: A New Way to Save Effort. - Hui Liu 003; Zhiyi Ma; Weizhong Shao; Zhendong Niu (IEEE Trans. Software Eng., 2012)

Identification of generalization refactoring opportunities. - Hui Liu 003; Zhendong Niu; Zhiyi Ma; Weizhong Shao (Autom. Softw. Eng., 2013)

Monitor-Based Instant Software Refactoring. - Hui Liu 003; Xue Guo; Weizhong Shao (IEEE Trans. Software Eng., 2013)

Traceability-enabled refactoring for managing just-in-time requirements. - Nan Niu; Tanmay Bhowmik; Hui Liu 003; Zhendong Niu (RE, 2014)

Case study on software refactoring tactics. - Hui Liu 003; Yang Liu; Xue Guo; Yuan Gao (IET Softw., 2014)

Analyzing Refactorings' Impact on Regression Test Cases. - Yuan Gao; Hui Liu 003; Xiaozhong Fan; Zhendong Niu; Bridget Nyirongo (COMPSAC, 2015)

Tagging in Assisted Tracing. - Wentao Wang 003; Nan Niu; Hui Liu 003; Yuting Wu (SST@ICSE, 2015)

Identifying Renaming Opportunities by Expanding Conducted Rename Refactorings. - Hui Liu 003; Qiurong Liu; Yang Liu; Zhouding Wang (IEEE Trans. Software Eng., 2015)

Nomen est omen: exploring and exploiting similarities between argument and parameter names. - Hui Liu 003; Qiurong Liu; Cristian-Alexandru Staicu; Michael Pradel; Yue Luo (ICSE, 2016)

Domino Effect: Move More Methods Once a Method is Moved. - Hui Liu 003; Yuting Wu; Wenmei Liu; Qiurong Liu; Chao Li (SANER, 2016)

Major motivations for extract method refactorings: analysis based on interviews and change histories. - Wenmei Liu; Hui Liu 003 (Frontiers Comput. Sci., 2016)

Dynamic and Automatic Feedback-Based Threshold Adaptation for Code Smell Detection. - Hui Liu 003; Qiurong Liu; Zhendong Niu; Yang Liu (IEEE Trans. Software Eng., 2016)

Deep learning based feature envy detection. - Hui Liu 003; Zhifeng Xu; Yanzhen Zou (ASE, 2018)

Enhancing Automated Requirements Traceability by Resolving Polysemy. - Wentao Wang 003; Nan Niu; Hui Liu 003; Zhendong Niu (RE, 2018)

Test-Based Clone Detection: an Initial Try on Semantically Equivalent Methods. - Guangjie Li; Hui Liu 003; Yanjie Jiang; Jiahao Jin (IEEE Access, 2018)

Lexical Similarity Between Argument and Parameter Names: An Empirical Study. - Guangjie Li; Hui Liu 003; Qiurong Liu; Yuting Wu (IEEE Access, 2018)

Recommending Refactoring Solutions Based on Traceability and Code Metrics. - Ally S. Nyamawe; Hui Liu 003; Zhendong Niu; Wentao Wang 003; Nan Niu (IEEE Access, 2018)

Dynamic Ranking of Refactoring Menu Items for Integrated Development Environment. - Thida Oo; Hui Liu 003; Bridget Nyirongo (IEEE Access, 2018)

Emotion Based Automated Priority Prediction for Bug Reports. - Qasim Umer; Hui Liu 003; Yasir Sultan (IEEE Access, 2018)

Automatic approval prediction for software enhancement requests. - Zeeshan Ahmed Nizamani; Hui Liu 003; David M. Chen; Zhendong Niu (Autom. Softw. Eng., 2018)

DataSet for paper. - Guangjie Li; Hui Liu 003 (IEEE DataPort, 2018)

How are design patterns concerned by developers? - He Jiang 001; Dong Liu 025; Xin Chen 032; Hui Liu 003; Hong Mei 001 (ICSE (Companion Volume), 2019)

Slicing Based Code Recommendation for Type Based Instance Retrieval. - Rui Sun; Hui Liu 003; Leping Li (ICSR, 2019)

Machine Learning Based Recommendation of Method Names: How Far are We. - Lin Jiang; Hui Liu 003; He Jiang 001 (ASE, 2019)

Automated Recommendation of Software Refactorings Based on Feature Requests. - Ally S. Nyamawe; Hui Liu 003; Nan Niu; Qasim Umer; Zhendong Niu (RE, 2019)

Semantic relation based expansion of abbreviations. - Yanjie Jiang; Hui Liu 003; Lu Zhang 023 (ESEC/SIGSOFT FSE, 2019)

An Empirical Study on Competitive Crowdsource Software Development: Motivating and Inhibiting Factors. - Inam Illahi; Hui Liu 003; Qasim Umer; Syed Anees Haider Zaidi (IEEE Access, 2019)

Sentiment based approval prediction for enhancement reports. - Qasim Umer; Hui Liu 003; Yasir Sultan (J. Syst. Softw., 2019)

Identification of Misleading Location Information in Compiler Diagnoses. - Miaoying Wang; Weixing Ji; Dejiang Jing; Hui Liu 003 (APSEC, 2020)

Automated classification of actions in bug reports of mobile apps. - Hui Liu 003; Mingzhu Shen; Jiahao Jin; Yanjie Jiang (ISSTA, 2020)

Deep Learning Based Identification of Suspicious Return Statements. - Guangjie Li; Hui Liu 003; Jiahao Jin; Qasim Umer (SANER, 2020)

LSTM-based argument recommendation for non-API methods. - Guangjie Li; Hui Liu 003; Ge Li 001; Sijie Shen; Hanlin Tang (Sci. China Inf. Sci., 2020)

Feature requests-based recommendation of software refactorings. - Ally S. Nyamawe; Hui Liu 003; Nan Niu; Qasim Umer; Zhendong Niu (Empir. Softw. Eng., 2020)

CNN-Based Automatic Prioritization of Bug Reports. - Qasim Umer; Hui Liu 003; Inam Illahi (IEEE Trans. Reliab., 2020)

Automatic and Accurate Expansion of Abbreviations in Parameters. - Yanjie Jiang; Hui Liu 003; Jiaqi Zhu; Lu Zhang 023 (IEEE Trans. Software Eng., 2020)

Corrections to "Automatic and Accurate Expansion of Abbreviations in Parameters". - Yanjie Jiang; Hui Liu 003; Jiaqi Zhu; Lu Zhang 023 (IEEE Trans. Software Eng., 2020)

NameChecker: Detecting Inconsistency between Method Names and Method Bodies. - Kejun Li; Taiming Wang; Hui Liu 003 (APSEC, 2021)

Deep Feature Learning to Quantitative Prediction of Software Defects. - Lei Qiao 007; Guangjie Li; Daohua Yu; Hui Liu 003 (COMPSAC, 2021)

Extracting Concise Bug-Fixing Patches from Human-Written Patches in Version Control Systems. - Yanjie Jiang; Hui Liu 003; Nan Niu; Lu Zhang 023; Yamin Hu (ICSE, 2021)

Finding Metamorphic Relations for Scientific Software. - Xuanyi Lin; Zedong Peng; Nan Niu; Wentao Wang 003; Hui Liu 003 (ICSE (Companion Volume), 2021)

Environment-Driven Abstraction Identification for Requirements-Based Testing. - Zedong Peng; Prachi Rathod; Nan Niu; Tanmay Bhowmik; Hui Liu 003; Lin Shi 006; Zhi Jin (RE, 2021)

Which abbreviations should be expanded? - Yanjie Jiang; Hui Liu 003; Yuxia Zhang; Nan Niu; Yuhai Zhao; Lu Zhang 023 (ESEC/SIGSOFT FSE, 2021)

A Survey on Renamings of Software Entities. - Guangjie Li; Hui Liu 003; Ally S. Nyamawe (ACM Comput. Surv., 2021)

Machine learning based success prediction for crowdsourcing software projects. - Inam Illahi; Hui Liu 003; Qasim Umer; Nan Niu (J. Syst. Softw., 2021)

Effective Prediction of Bug-Fixing Priority via Weighted Graph Convolutional Networks. - Sen Fang; Youshuai Tan; Tao Zhang 001; Zhou Xu 003; Hui Liu 003 (IEEE Trans. Reliab., 2021)

Deep Learning Based Code Smell Detection. - Hui Liu 003; Jiahao Jin; Zhifeng Xu; Yanzhen Zou; Yifan Bu; Lu Zhang 023 (IEEE Trans. Software Eng., 2021)

What Makes a Good Commit Message? - Yingchen Tian; Yuxia Zhang; Klaas-Jan Stol; Lin Jiang; Hui Liu 003 (ICSE, 2022)

Do bugs lead to unnaturalness of source code? - Yanjie Jiang; Hui Liu 003; Yuxia Zhang; Weixing Ji; Hao Zhong 001; Lu Zhang 023 (ESEC/SIGSOFT FSE, 2022)

Corporate dominance in open source ecosystems: a case study of OpenStack. - Yuxia Zhang; Klaas-Jan Stol; Hui Liu 003; Minghui Zhou 001 (ESEC/SIGSOFT FSE, 2022)

Non-autoregressive Model for Full-line Code Completion. - Fang Liu 032; Zhiyi Fu; Ge Li 001; Zhi Jin; Hui Liu 003; Yiyang Hao (CoRR, 2022)

Testing software's changing features with environment-driven abstraction identification. - Zedong Peng; Prachi Rathod; Nan Niu; Tanmay Bhowmik; Hui Liu 003; Lin Shi 006; Zhi Jin (Requir. Eng., 2022)

Turnover of Companies in OpenStack: Prevalence and Rationale. - Yuxia Zhang; Hui Liu 003; Xin Tan 003; Minghui Zhou 001; Zhi Jin; Jiaxin Zhu (ACM Trans. Softw. Eng. Methodol., 2022)

Automated Expansion of Abbreviations Based on Semantic Relation and Transfer Expansion. - Yanjie Jiang; Hui Liu 003; Jiahao Jin; Lu Zhang 023 (IEEE Trans. Software Eng., 2022)

Heuristic and Neural Network Based Prediction of Project-Specific API Member Access. - Lin Jiang; Hui Liu 003; He Jiang 001; Lu Zhang 023; Hong Mei 001 (IEEE Trans. Software Eng., 2022)

Deep Learning Based Program Generation From Requirements Text: Are We There Yet? - Hui Liu 003; Mingzhu Shen; Jiaqi Zhu; Nan Niu; Ge Li 001; Lu Zhang 023 (IEEE Trans. Software Eng., 2022)

Automated Software Entity Matching Between Successive Versions. - Bo Liu 094; Hui Liu 003; Nan Niu; Yuxia Zhang; Guangjie Li; Yanjie Jiang (ASE, 2023)

Prompting Creative Requirements via Traceable and Adversarial Examples in Deep Learning. - Hemanth Gudaparthi; Nan Niu; Boyang Wang; Tanmay Bhowmik; Hui Liu 003; Jianzhang Zhang; Juha Savolainen; Glen Horton; Sean Crowe; Thomas Scherz; Lisa Haitz (RE, 2023)

A Case Study of Dependency Network for Building Packages: The Fedora Linux Distribution. - Jiman Du; Jiaxin Zhu; Hui Liu 003; Wei Chen; Lijie Xu; Jie Liu; Zhifeng Chen (SEKE, 2023)

An Automated Approach to Extracting Local Variables. - Xiaye Chi; Hui Liu 003; Guangjie Li; Weixiao Wang; Yunni Xia; Yanjie Jiang; Yuxia Zhang; Weixing Ji (ESEC/SIGSOFT FSE, 2023)

Deep Learning Based Feature Envy Detection Boosted by Real-World Examples. - Bo Liu 094; Hui Liu 003; Guangjie Li; Nan Niu; Zimao Xu; Yifan Wang; Yunni Xia; Yuxia Zhang; Yanjie Jiang (ESEC/SIGSOFT FSE, 2023)

Baichuan 2: Open Large-scale Language Models. - Aiyuan Yang; Bin Xiao; Bingning Wang; Borong Zhang; Ce Bian; Chao Yin; Chenxu Lv; Da Pan 003; Dian Wang; Dong Yan; Fan Yang 087; Fei Deng; et al. (CoRR, 2023)

Generating Concise Patches for Newly Released Programming Assignments. - Leping Li; Hui Liu 003; Kejun Li; Yanjie Jiang; Rui Sun (IEEE Trans. Software Eng., 2023)

BugBuilder: An Automated Approach to Building Bug Repository. - Yanjie Jiang; Hui Liu 003; Xiaoqing Luo; Zhihao Zhu; Xiaye Chi; Nan Niu; Yuxia Zhang; Yamin Hu; Pan Bian; Lu Zhang 023 (IEEE Trans. Software Eng., 2023)

Exploring Query Understanding for Amazon Product Search. - Chen Luo 003; Xianfeng Tang; Hanqing Lu; Yaochen Xie; Hui Liu 003; Zhenwei Dai; Limeng Cui; Ashutosh Joshi; Sreyashi Nag; Yang Li 055; Zhen Li; Rahul Goutam; et al. (IEEE Big Data, 2024)

Context-Aware Name Recommendation for Field Renaming. - Chunhao Dong; Yanjie Jiang; Nan Niu; Yuxia Zhang; Hui Liu 003 (ICSE, 2024)

JLeaks: A Featured Resource Leak Repository Collected From Hundreds of Open-Source Java Projects. - Tianyang Liu; Weixing Ji; Xiaohui Dong; Wuhuang Yao; Yizhuo Wang 001; Hui Liu 003; Haiyang Peng; Yuxuan Wang (ICSE, 2024)

How Are Paid and Volunteer Open Source Developers Different? A Study of the Rust Project. - Yuxia Zhang; Mian Qin; Klaas-Jan Stol; Minghui Zhou 001; Hui Liu 003 (ICSE, 2024)

A Position-Aware Approach to Decomposing God Classes. - Tianyi Chen; Yanjie Jiang; Fu Fan; Bo Liu 094; Hui Liu 003 (ASE, 2024)

COLARE: Commit Classification via Fine-grained Context-aware Representation of Code Changes. - Qunhong Zeng; Yuxia Zhang; Zeyu Sun 004; Yujie Guo; Hui Liu 003 (SANER, 2024)

A Survey of Deep Learning Based Software Refactoring. - Bridget Nyirongo; Yanjie Jiang; He Jiang 001; Hui Liu 003 (CoRR, 2024)

Node-wise Filtering in Graph Neural Networks: A Mixture of Experts Approach. - Haoyu Han 001; Juanhui Li; Wei Huang; Xianfeng Tang; Hanqing Lu; Chen Luo 003; Hui Liu 003; Jiliang Tang (CoRR, 2024)

SimRAG: Self-Improving Retrieval-Augmented Generation for Adapting Large Language Models to Specialized Domains. - Ran Xu 002; Hui Liu 003; Sreyashi Nag; Zhenwei Dai; Yaochen Xie; Xianfeng Tang; Chen Luo 003; Yang Li 055; Joyce C. Ho; Carl Yang 001; Qi He 002 (CoRR, 2024)

Evaluating and Improving ChatGPT-Based Expansion of Abbreviations. - Yanjie Jiang; Hui Liu 003; Lu Zhang 023 (CoRR, 2024)

An Empirical Study on the Potential of LLMs in Automated Software Refactoring. - Bo Liu 094; Yanjie Jiang; Yuxia Zhang; Nan Niu; Guangjie Li; Hui Liu 003 (CoRR, 2024)

A Survey of Calibration Process for Black-Box LLMs. - Liangru Xie; Hui Liu 003; Jingying Zeng; Xianfeng Tang; Yan Han 001; Chen Luo 003; Jing Huang; Zhen Li; Suhang Wang; Qi He 002 (CoRR, 2024)

A Comprehensive Study of Open-Source Printed Circuit Board (PCB) Design Software Bugs. - Xu Zhao; He Jiang 001; Shikai Guo; Dong Liu 025; Hui Liu 003; Chongyang Shi 001; Xiaochen Li (IEEE Trans. Instrum. Meas., 2024)

Automatic Commit Message Generation: A Critical Review and Directions for Future Work. - Yuxia Zhang; Zhiqing Qiu; Klaas-Jan Stol; Wenhui Zhu; Jiaxin Zhu; Yingchen Tian; Hui Liu 003 (IEEE Trans. Software Eng., 2024)

Non-Autoregressive Line-Level Code Completion. - Fang Liu 032; Zhiyi Fu; Ge Li 001; Zhi Jin; Hui Liu 003; Yiyang Hao; Li Zhang 029 (ACM Trans. Softw. Eng. Methodol., 2024)

Shortening Overlong Method Names with Abbreviations. - Yanjie Jiang; Hui Liu 003; Shing-Chi Cheung; Lu Zhang 023 (ACM Trans. Softw. Eng. Methodol., 2024)

Erratum to "Effective Prediction of Bug-Fixing Priority via Weighted Graph Convolutional Networks". - Sen Fang; Youshuai Tan; Tao Zhang 001; Zhou Xu 003; Hui Liu 003 (IEEE Trans. Reliab., 2024)

Reasoning with Graphs: Structuring Implicit Knowledge to Enhance LLMs Reasoning. - Haoyu Han 001; Yaochen Xie; Hui Liu 003; Xianfeng Tang; Sreyashi Nag; William Headden; Yang Li 055; Chen Luo 003; Shuiwang Ji; Qi He 002; Jiliang Tang (ACL (Findings), 2025)

Stepwise Perplexity-Guided Refinement for Efficient Chain-of-Thought Reasoning in Large Language Models. - Yingqian Cui; Pengfei He; Jingying Zeng; Hui Liu 003; Xianfeng Tang; Zhenwei Dai; Yan Han 001; Chen Luo 003; Jing Huang; Zhen Li; Suhang Wang; Yue Xing 002; et al. (ACL (Findings), 2025)

Six-CD: Benchmarking Concept Removals for Text-to-image Diffusion Models. - Jie Ren 019; Kangrui Chen; Yingqian Cui; Shenglai Zeng; Hui Liu 003; Yue Xing 002; Jiliang Tang; Lingjuan Lyu (CVPR, 2025)

Deep learning-based software engineering: progress, challenges, and opportunities. - Xiangping Chen; Xing Hu 008; Yuan Huang 002; He Jiang 001; Weixing Ji; Yanjie Jiang; Yanyan Jiang 001; Bo Liu 094; Hui Liu 003; Xiaochen Li; Xiaoli Lian; Guozhu Meng; et al. (Sci. China Inf. Sci., 2025)

LLM-Based Method Name Suggestion with Automatically Generated Context-Rich Prompts. - Waseem Akram 007; Yanjie Jiang; Yuxia Zhang; Haris Ali Khan; Hui Liu 003 (Proc. ACM Softw. Eng., 2025)

Core Developer Turnover in the Rust Package Ecosystem: Prevalence, Impact, and Awareness. - Meng Fan; Yuxia Zhang; Klaas-Jan Stol; Hui Liu 003 (Proc. ACM Softw. Eng., 2025)

Has My Code Been Stolen for Model Training? A Naturalness Based Approach to Code Contamination Detection. - Haris Ali Khan; Yanjie Jiang; Qasim Umer; Yuxia Zhang; Waseem Akram 007; Hui Liu 003 (Proc. ACM Softw. Eng., 2025)

Who Will Stop Contributing to OSS Projects? Predicting Company Turnover Based on Initial Behavior. - Mian Qin; Yuxia Zhang; Klaas-Jan Stol; Hui Liu 003 (Proc. ACM Softw. Eng., 2025)

Deep Assessment of Code Review Generation Approaches: Beyond Lexical Similarity. - Yanjie Jiang; Hui Liu 003; Tianyi Chen; Fu Fan; Chunhao Dong; Kui Liu; Lu Zhang 023 (CoRR, 2025)

Baichuan-Omni-1.5 Technical Report. - Yadong Li; Jun Liu; Tao Zhang 001; Tao Zhang 001; Song Chen; Tianpeng Li; Zehuan Li; Lijun Liu; Lingfeng Ming; Guosheng Dong; Da Pan 003; Chong Li; et al. (CoRR, 2025)

Stepwise Perplexity-Guided Refinement for Efficient Chain-of-Thought Reasoning in Large Language Models. - Yingqian Cui; Pengfei He; Jingying Zeng; Hui Liu 003; Xianfeng Tang; Zhenwei Dai; Yan Han 001; Chen Luo 003; Jing Huang; Zheng Li 018; Suhang Wang; Yue Xing 002; et al. (CoRR, 2025)

A General Framework to Enhance Fine-tuning-based LLM Unlearning. - Jie Ren 019; Zhenwei Dai; Xianfeng Tang; Hui Liu 003; Jingying Zeng; Zhen Li; Rahul Goutam; Suhang Wang; Yue Xing 002; Qi He 002 (CoRR, 2025)

How Far are LLMs from Real Search? A Comprehensive Study on Efficiency, Completeness, and Inherent Capabilities. - Minhua Lin; Hui Liu 003; Xianfeng Tang; Jingying Zeng; Zhenwei Dai; Chen Luo 003; Zheng Li 018; Xiang Zhang 001; Qi He 002; Suhang Wang (CoRR, 2025)

Deep learning based identification of inconsistent method names: How far are we? - Taiming Wang; Yuxia Zhang; Lin Jiang; Yi Tang; Guangjie Li; Hui Liu 003 (Empir. Softw. Eng., 2025)

Systematic Literature Review of Commercial Participation in Open Source Software. - Xuetao Li; Yuxia Zhang; Cailean Osborne; Minghui Zhou 001; Zhi Jin; Hui Liu 003 (ACM Trans. Softw. Eng. Methodol., 2025)

Cite Before You Speak: Enhancing Context-Response Grounding in E-commerce Conversational LLM-Agents. - Jingying Zeng; Hui Liu 003; Zhenwei Dai; Xianfeng Tang; Chen Luo 003; Samarth Varshney; Zhen Li; Qi He 002 (CoRR, 2025)

Examples as the Prompt: A Scalable Approach for Efficient LLM Adaptation in E-Commerce. - Jingying Zeng; Zhenwei Dai; Hui Liu 003; Samarth Varshney; Zhiji Liu; Chen Luo 003; Zheng Li 018; Qi He 002; Xianfeng Tang (CoRR, 2025)

An Automated Approach to Discovering Software Refactorings by Comparing Successive Versions. - Bo Liu 094; Hui Liu 003; Nan Niu; Yuxia Zhang; Guangjie Li; He Jiang 001; Yanjie Jiang (IEEE Trans. Software Eng., 2025)

Exploring the potential of general purpose LLMs in automated software refactoring: an empirical study. - Bo Liu 094; Yanjie Jiang; Yuxia Zhang; Nan Niu; Guangjie Li; Hui Liu 003 (Autom. Softw. Eng., 2025)

Attention Knows Whom to Trust: Attention-based Trust Management for LLM Multi-Agent Systems. - Pengfei He; Zhenwei Dai; Xianfeng Tang; Yue Xing 002; Hui Liu 003; Jingying Zeng; Qiankun Peng; Shrivats Agrawal; Samarth Varshney; Suhang Wang; Jiliang Tang; Qi He 002 (CoRR, 2025)

Developers' Views on Commercial Involvement in OSS: A Survey From Three Projects. - Mian Qin; Yuxia Zhang; Minghui Zhou 001; Zhe Wang; Haoyang Li; Hui Liu 003 (IEEE Trans. Software Eng., 2025)

Evaluating Generated Commit Messages with Large Language Models. - Qunhong Zeng; Yuxia Zhang; Zexiong Ma; Bo Jiang; Ningyuan Sun; Klaas-Jan Stol; Xingyu Mou; Hui Liu 003 (CoRR, 2025)

An Empirical Study on Common Sense-Violating Bugs in Mobile Apps. - Fu Fan; Yanjie Jiang; Tianyi Chen; Hengshun Zhang; Yuxia Zhang; Nan Niu; Hui Liu 003 (ACM Trans. Softw. Eng. Methodol., 2025)

Recommending Variable Names for Extract Local Variable Refactorings. - Taiming Wang; Hui Liu 003; Yuxia Zhang; Yanjie Jiang (ACM Trans. Softw. Eng. Methodol., 2025)

OneMoreTest: A Learning-Based Approach to Generating and Selecting Fault-Revealing Unit Tests. - Wei Wei; Yanjie Jiang; Yahui Li; Lu Zhang 023; Hui Liu 003 (IEEE Trans. Software Eng., 2025)

Toward Understanding FPGA Synthesis Tool Bugs. - Yi Zhang; He Jiang 001; Shikai Guo; Xiaochen Li; Hui Liu 003; Chongyang Shi 001 (ACM Trans. Softw. Eng. Methodol., 2025)