An Empirical Study on Evolution of API Documentation. - Lin Shi 006; Hao Zhong 001; Tao Xie 001; Mingshu Li 001 (FASE, 2011)

Learning from evolution history to predict future requirement changes. - Lin Shi 006; Qing Wang 001; Mingshu Li 001 (RE, 2013)

Maintenance Effort Estimation for Open Source Software: A Systematic Literature Review. - Hong Wu; Lin Shi 006; Celia Chen; Qing Wang 001; Barry W. Boehm (ICSME, 2016)

Is It a New Feature or Simply "Don't Know Yet"?: On Automated Redundant OSS Feature Requests Identification. - Lin Shi 006; Celia Chen; Qing Wang 001; Barry W. Boehm (RE, 2016)

Stage-oriented Analysis on Factors Impacting Bug Fixing Time. - Hong Wu; Junjie Wang 001; Qing Wang 001; Lin Shi 006; Feng Yuan (SEKE, 2016)

An Empirical Study to Revisit Productivity across Different Programming Languages. - Yingling Li; Lin Shi 006; Jun Hu 015; Qing Wang 001; Jian Zhai (APSEC, 2017)

Why is it important to measure maintainability, and what are the best ways to do it? - Celia Chen; Reem Alfayez; Kamonphop Srisopha; Barry W. Boehm; Lin Shi 006 (ICSE (Companion Volume), 2017)

Understanding feature requests by leveraging fuzzy method and linguistic analysis. - Lin Shi 006; Celia Chen; Qing Wang 001; Shoubin Li; Barry W. Boehm (ASE, 2017)

How Do Defects Hurt Qualities? An Empirical Study on Characterizing a Software Maintainability Ontology in Open Source Software. - Celia Chen; Lin Shi 006; Michael Shoga; Qing Wang 001; Barry W. Boehm (QRS, 2018)

BehaviorKI: Behavior Pattern Based Runtime Integrity Checking for Operating System Kernel. - Xinyue Feng; Qiusong Yang; Lin Shi 006; Qing Wang 001 (QRS, 2018)

Are All Duplicates Value-Neutral? An Empirical Analysis of Duplicate Issue Reports. - Mingyang Li; Lin Shi 006; Qing Wang 001 (QRS, 2019)

Machine learning techniques for code smell detection: A systematic literature review and meta-analysis. - Muhammad Ilyas Azeem; Fabio Palomba; Lin Shi 006; Qing Wang 001 (Inf. Softw. Technol., 2019)

Detection of hidden feature requests from massive chat messages via deep siamese network. - Lin Shi 006; Mingzhe Xing; Mingyang Li; Yawen Wang; Shoubin Li; Qing Wang 001 (ICSE, 2020)

Automated Extraction of Requirement Entities by Leveraging LSTM-CRF and Transfer Learning. - Mingyang Li; Ye Yang; Lin Shi 006; Qing Wang 001; Jun Hu 015; Xinhua Peng; Weimin Liao; Guizhen Pi (ICSME, 2020)

A Deep Multitask Learning Approach for Requirements Discovery and Annotation from Open Forum. - Mingyang Li; Lin Shi 006; Ye Yang; Qing Wang 001 (ASE, 2020)

NERO: A Text-based Tool for Content Annotation and Detection of Smells in Feature Requests. - Fangwen Mu; Lin Shi 006; Wei Zhou; Yuanzhong Zhang; Huixia Zhao (RE, 2020)

A Deep Context-wise Method for Coreference Detection in Natural Language Requirements. - Yawen Wang; Lin Shi 006; Mingyang Li; Qing Wang 001; Yun Yang 001 (RE, 2020)

Learning to extract transaction function from requirements: an industrial case on financial software. - Lin Shi 006; Mingyang Li; Mingzhe Xing; Yawen Wang; Qing Wang 001; Xinhua Peng; Weimin Liao; Guizhen Pi; Haiqing Wang (ESEC/SIGSOFT FSE, 2020)

A Self-enhanced Automatic Traceability Link Recovery via Structure Knowledge Mining for Small-scale Labeled Data. - Lei Chen; Dandan Wang; Lin Shi 006; Qing Wang 001 (COMPSAC, 2021)

Dialogue Disentanglement in Software Engineering: How Far are We? - Ziyou Jiang; Lin Shi 006; Celia Chen; Jun Hu 015; Qing Wang 001 (IJCAI, 2021)

ISPY: Automatic Issue-Solution Pair Extraction from Community Live Chats. - Lin Shi 006; Ziyou Jiang; Ye Yang; Xiao Chen 015; Yumin Zhang; Fangwen Mu; Hanzhi Jiang; Qing Wang 001 (ASE, 2021)

VTLayout: Fusion of Visual and Text Features for Document Layout Analysis. - Shoubin Li; Xuyan Ma; Shuaiqun Pan; Jun Hu 015; Lin Shi 006; Qing Wang 001 (PRICAI (1), 2021)

Accept or Not? An Empirical Study on Analyzing the Factors that Affect the Outcomes of Modern Code Review? - Dandan Wang; Qing Wang 001; Junjie Wang 001; Lin Shi 006 (QRS, 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)

A first look at developers' live chat on Gitter. - Lin Shi 006; Xiao Chen 015; Ye Yang; Hanzhi Jiang; Ziyou Jiang; Nan Niu; Qing Wang 001 (ESEC/SIGSOFT FSE, 2021)

Automatically detecting feature requests from development emails by leveraging semantic sequence mining. - Lin Shi 006; Celia Chen; Qing Wang 001; Barry W. Boehm (Requir. Eng., 2021)

BugListener: Identifying and Synthesizing Bug Reports from Collaborative Live Chats. - Lin Shi 006; Fangwen Mu; Yumin Zhang; Ye Yang; Junjie Chen 003; Xiao Chen 015; Hanzhi Jiang; Ziyou Jiang; Qing Wang 001 (ICSE, 2022)

Where is Your App Frustrating Users? - Yawen Wang; Junjie Wang 001; Hongyu Zhang 002; Xuran Ming; Lin Shi 006; Qing Wang 001 (ICSE, 2022)

MuiDial: Improving Dialogue Disentanglement with Intent-Based Mutual Learning. - Ziyou Jiang; Lin Shi 006; Celia Chen; Fangwen Mu; Yumin Zhang; Qing Wang 001 (IJCAI, 2022)

Automatic Comment Generation via Multi-Pass Deliberation. - Fangwen Mu; Xiao Chen 015; Lin Shi 006; Song Wang 009; Qing Wang 001 (ASE, 2022)

Are we building on the rock? on the importance of data preprocessing for code summarization. - Lin Shi 006; Fangwen Mu; Xiao Chen 015; Song Wang 009; Junjie Wang 001; Ye Yang; Ge Li 001; Xin Xia 001; Qing Wang 001 (ESEC/SIGSOFT FSE, 2022)

Automated Generating Natural Language Requirements based on Domain Ontology. - Ziyan Zhao; Li Zhang 029; Xiaoyun Gao; Xiaoli Lian; Heyang Lv; Lin Shi 006 (CoRR, 2022)

Automated data function extraction from textual requirements by leveraging semi-supervised CRF and language model. - Mingyang Li; Lin Shi 006; Yawen Wang; Junjie Wang 001; Qing Wang 001; Jun Hu 015; Xinhua Peng; Weimin Liao; Guizhen Pi (Inf. Softw. Technol., 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)

Detecting coreferent entities in natural language requirements. - Yawen Wang; Lin Shi 006; Mingyang Li; Qing Wang 001; Yun Yang 001 (Requir. Eng., 2022)

iSPY: Issue-Solution Pairing From Developer Live Chats. - Lin Shi 006; Ye Yang; Qing Wang 001 (IEEE Softw., 2022)

Developer-Intent Driven Code Comment Generation. - Fangwen Mu; Xiao Chen 015; Lin Shi 006; Song Wang 009; Qing Wang 001 (ICSE, 2023)

SCPatcher: Mining Crowd Security Discussions to Enrich Secure Coding Practices. - Ziyou Jiang; Lin Shi 006; Guowei Yang 001; Qing Wang 001 (ASE, 2023)

Automatic Unit Test Generation for Deep Learning Frameworks based on API Knowledge. - Arunkaleeshwaran Narayanan; Nima Shiri Harzevili; Junjie Wang 001; Lin Shi 006; Moshi Wei; Song Wang 009 (CoRR, 2023)

ClarifyGPT: Empowering LLM-based Code Generation with Intention Clarification. - Fangwen Mu; Lin Shi 006; Song Wang 009; Zhuohao Yu 002; Binquan Zhang; Chenxue Wang; Shichao Liu; Qing Wang 001 (CoRR, 2023)

A Survey on Query-based API Recommendation. - Moshi Wei; Nima Shiri Harzevili; Alvine Boaye Belle; Junjie Wang 001; Lin Shi 006; Jinqiu Yang 001; Song Wang 009; Zhen Ming Jiang (CoRR, 2023)

Imperfect Code Generation: Uncovering Weaknesses in Automatic Code Generation by Large Language Models. - Xiaoli Lian; Shuaisong Wang; Jieping Ma; Xin Tan 003; Fang Liu 032; Lin Shi 006; Cuiyun Gao; Li Zhang 029 (ICSE Companion, 2024)

PatUntrack: Automated Generating Patch Examples for Issue Reports without Tracked Insecure Code. - Ziyou Jiang; Lin Shi 006; Guowei Yang 001; Qing Wang 001 (ASE, 2024)

iSMELL: Assembling LLMs with Expert Toolsets for Code Smell Detection and Refactoring. - Di Wu; Fangwen Mu; Lin Shi 006; Zhaoqiang Guo; Kui Liu 001; Weiguang Zhuang; Yuqi Zhong; Li Zhang 029 (ASE, 2024)

Exploring and Evaluating Hallucinations in LLM-Powered Code Generation. - Fang Liu 032; Yang Liu 003; Lin Shi 006; Houkun Huang; Ruifeng Wang; Zhen Yang 022; Li Zhang 029 (CoRR, 2024)

Uncovering Weaknesses in Neural Code Generation. - Xiaoli Lian; Shuaisong Wang; Jieping Ma; Fang Liu 032; Xin Tan 003; Li Zhang 029; Lin Shi 006; Cuiyun Gao (CoRR, 2024)

CodePurify: Defend Backdoor Attacks on Neural Code Models via Entropy-based Purification. - Fangwen Mu; Junjie Wang 001; Zhuohao Yu 002; Lin Shi 006; Song Wang 009; Mingyang Li; Qing Wang 001 (CoRR, 2024)

ClarifyGPT: A Framework for Enhancing LLM-Based Code Generation via Requirements Clarification. - Fangwen Mu; Lin Shi 006; Song Wang 009; Zhuohao Yu 002; Binquan Zhang; Chenxue Wang; Shichao Liu; Qing Wang 001 (Proc. ACM Softw. Eng., 2024)

The Good, the Bad, and the Missing: Neural Code Generation for Machine Learning Tasks. - Jiho Shin; Moshi Wei; Junjie Wang 001; Lin Shi 006; Song Wang 009 (ACM Trans. Softw. Eng. Methodol., 2024)

Bringing Open Source Communication and Development Together: A Cross-Platform Study on Gitter and GitHub. - Hanzhi Jiang; Lin Shi 006; Meiru Che; Yuxia Zhang; Qing Wang 001 (IEEE Trans. Software Eng., 2024)

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)

Revolutionizing Newcomers' Onboarding Process in OSS Communities: The Future AI Mentor. - Xin Tan 003; Xiao Long; Yinghao Zhu; Lin Shi 006; Xiaoli Lian; Li Zhang 029 (Proc. ACM Softw. Eng., 2025)

Deep API Sequence Generation via Golden Solution Samples and API Seeds. - Yuekai Huang; Junjie Wang 001; Song Wang 009; Moshi Wei; Lin Shi 006; Zhe Liu 025; Qing Wang 001 (ACM Trans. Softw. Eng. Methodol., 2025)

EXPEREPAIR: Dual-Memory Enhanced LLM-based Repository-Level Program Repair. - Fangwen Mu; Junjie Wang 001; Lin Shi 006; Song Wang 009; Shoubin Li; Qing Wang 001 (CoRR, 2025)