Architectural design decision visualization for architecture design: preliminary results of a controlled experiment. - Mojtaba Shahin; Peng Liang 001; Zengyang Li (ECSA Companion Volume, 2011)

Architectural Debt Management in Value-Oriented Architecting. - Zengyang Li; Peng Liang 001; Paris Avgeriou (Economics-Driven Software Architecture, 2013)

Recovering Software Architectural Knowledge from Documentation using Conceptual Model. - Mojtaba Shahin; Peng Liang 001; Zengyang Li (SEKE, 2013)

Application of knowledge-based approaches in software architecture: A systematic mapping study. - Zengyang Li; Peng Liang 001; Paris Avgeriou (Inf. Softw. Technol., 2013)

Do architectural design decisions improve the understanding of software architecture? two controlled experiments. - Mojtaba Shahin; Peng Liang 001; Zengyang Li (ICPC, 2014)

An empirical investigation of modularity metrics for indicating architectural technical debt. - Zengyang Li; Peng Liang 001; Paris Avgeriou; Nicolas Guelfi; Apostolos Ampatzoglou (QoSA, 2014)

Architectural Technical Debt Identification Based on Architecture Decisions and Change Scenarios. - Zengyang Li; Peng Liang 001; Paris Avgeriou (WICSA, 2015)

A systematic mapping study on technical debt and its management. - Zengyang Li; Paris Avgeriou; Peng Liang 001 (J. Syst. Softw., 2015)

Technical debt in MDE: a case study on GMF/EMF-based projects. - Xiao He; Paris Avgeriou; Peng Liang 001; Zengyang Li (MoDELS, 2016)

Relating alternate modifications to defect density in software development. - Zengyang Li; Peng Liang 001; Bing Li 010 (ICSE (Companion Volume), 2017)

Developer Role Evolution in Open Source Software Ecosystem: An Explanatory Study on GNOME. - Can Cheng; Bing Li 010; Zengyang Li; Yuqi Zhao; Feng-Ling Liao (J. Comput. Sci. Technol., 2017)

软件集成开发环境的技术债务管理研究 (Study on Technical Debt Management of Integrated Development Environment). - Yajun Liu; Bing Li 010; Zengyang Li; Peng Liang 001; Minquan Wu (计算机科学, 2017)

Automatic Detection of Public Development Projects in Large Open Source Ecosystems: An Exploratory Study on GitHub. - Can Cheng; Bing Li 010; Zengyang Li; Peng Liang 001 (SEKE, 2018)

A Preliminary Investigation of Self-Admitted Refactorings in Open Source Software (S). - Zhang Di; Bing Li 010; Zengyang Li; Peng Liang 001 (SEKE, 2018)

Synchronization regions of discrete-time dynamical networks with impulsive couplings. - Zengyang Li; Hui Liu 004; Junan Lu; Zhigang Zeng; Jinhu Lü (Inf. Sci., 2018)

Improving Code Generation From Descriptive Text By Combining Deep Learning and Syntax Rules. - Xiangru Tang; Zhihao Wang; Jiyang Qi; Zengyang Li (SEKE, 2019)

Automatic Identification of Decisions from the Hibernate Developer Mailing List. - Xueying Li; Peng Liang 001; Zengyang Li (EASE, 2020)

Interest of Defect Technical Debt: An Exploratory Study on Apache Projects. - Zengyang Li; Qinyi Yu; Peng Liang 001; Ran Mo; Chen Yang 007 (ICSME, 2020)

An Empirical Investigation on the Relationship Between Bug Severity and Bug Fixing Change Complexity. - Zengyang Li; Dengwei Li; Peng Liang 001; Ran Mo (SEKE, 2020)

Is Bug Severity in Line with Bug Fixing Change Complexity? - Zengyang Li; Peng Liang 001; Dengwei Li; Ran Mo; Bing Li 010 (Int. J. Softw. Eng. Knowl. Eng., 2020)

Optimizing Synchronizability of Multilayer Networks Based on the Graph Comparison Method. - Hui Liu 004; Jiangqiao Xu; Zengyang Li; Xiaoping Wang 001; Jinhu Lü; Zhigang Zeng (IEEE Trans. Circuits Syst. I Fundam. Theory Appl., 2020)

Self-Claimed Assumptions in Deep Learning Frameworks: An Exploratory Study. - Chen Yang 007; Peng Liang 001; Liming Fu; Zengyang Li (EASE, 2021)

The Existence and Co-Modifications of Code Clones within or across Microservices. - Ran Mo; Yang Zhao; Qiong Feng; Zengyang Li (ESEM, 2021)

Multi-Programming-Language Commits in OSS: An Empirical Study on Apache Projects. - Zengyang Li; Xiaoxiao Qi; Qinyi Yu; Peng Liang 001; Ran Mo; Chen Yang 007 (ICPC, 2021)

Formal Definition and Automatic Generation of Semantic Metrics: An Empirical Study on Bug Prediction. - Ting Hu; Ran Mo; Pu Xiong; Zengyang Li; Qiong Feng (SCAM, 2021)

Multiclass Classification of Four Types of UML Diagrams from Images Using Deep Learning. - Sergei Shcherban; Peng Liang 001; Zengyang Li; Chen Yang 007 (SEKE, 2021)

Predicting and Monitoring Bug-Proneness at the Feature Level. - Shaozhi Wei; Ran Mo; Pu Xiong; Siyuan Zhang; Yang Zhao; Zengyang Li (SETTA, 2021)

Multiclass Classification of UML Diagrams from Images Using Deep Learning. - Sergei Shcherban; Peng Liang 001; Zengyang Li; Chen Yang 007 (Int. J. Softw. Eng. Knowl. Eng., 2021)

Parameter Identification of Memristor-Based Chaotic Systems via the Drive-Response Synchronization Method. - Hui Liu 004; Jun Chi; Zengyang Li; Zhigang Zeng; Jinhu Lü (IEEE Trans. Circuits Syst. II Express Briefs, 2021)

Potential Technical Debt and Its Resolution in Code Reviews: An Exploratory Study of the OpenStack and Qt Communities. - Liming Fu; Peng Liang 001; Zeeshan Rasheed; Zengyang Li; Amjed Tahir; Xiaofeng Han (ESEM, 2022)

A Preliminary Study on the Explicitness of Bug Associations. - Zengyang Li; Jieling Xu; Guangzong Cai; Peng Liang 001; Ran Mo (SEKE, 2022)

Decisions in Continuous Integration and Delivery: An Exploratory Study. - Yajing Luo; Peng Liang 001; Mojtaba Shahin; Zengyang Li; Chen Yang 007 (SEKE, 2022)

Improving generality and accuracy of existing public development project selection methods: a study on GitHub ecosystem. - Can Cheng; Bing Li 010; Zengyang Li; Peng Liang 001; Xiaofeng Han; Jiahua Zhang (Autom. Softw. Eng., 2022)

Technical Debt Management in OSS Projects: An Empirical Study on GitHub. - Zengyang Li; Yilin Peng; Peng Liang 001; Apostolos Ampatzoglou; Ran Mo; Hui Liu 004; Xiaoxiao Qi (CoRR, 2022)

An in-depth study of the effects of methods on the dataset selection of public development projects. - Can Cheng; Bing Li 010; Zengyang Li; Peng Liang 001; Xu Yang (IET Softw., 2022)

An exploratory study of bug prediction at the method level. - Ran Mo; Shaozhi Wei; Qiong Feng; Zengyang Li (Inf. Softw. Technol., 2022)

Exploring multi-programming-language commits and their impacts on software quality: An empirical study on Apache projects. - Zengyang Li; Xiaoxiao Qi; Qinyi Yu; Peng Liang 001; Ran Mo; Chen Yang 007 (J. Syst. Softw., 2022)

Topology Identification of Multilink Complex Dynamical Networks via Adaptive Observers Incorporating Chaotic Exosignals. - Hui Liu 004; Yan Li; Zengyang Li; Jinhu Lü; Jun-An Lu (IEEE Trans. Cybern., 2022)

Intralayer Synchronization of Multiplex Dynamical Networks via Pinning Impulsive Control. - Hui Liu 004; Jie Li 084; Zengyang Li; Zhigang Zeng; Jinhu Lü (IEEE Trans. Cybern., 2022)

Understanding Resolution of Multi-Language Bugs: An Empirical Study on Apache Projects. - Zengyang Li; Wenshuo Wang; Sicheng Wang 005; Peng Liang 001; Ran Mo (ESEM, 2023)

Understanding Bugs in Multi-Language Deep Learning Frameworks. - Zengyang Li; Sicheng Wang 005; Wenshuo Wang; Peng Liang 001; Ran Mo; Bing Li 010 (ICPC, 2023)

A Comprehensive Study on Code Clones in Automated Driving Software. - Ran Mo; Yingjie Jiang; Wenjing Zhan; Dongyu Wang; Zengyang Li (ASE, 2023)

Just-in-Time Defect Severity Prediction (S). - Ran Mo; Yushuo Wang; Yao Zhang; Zengyang Li (SEKE, 2023)

Security Weaknesses of Copilot Generated Code in GitHub. - Yujia Fu; Peng Liang 001; Amjed Tahir; Zengyang Li; Mojtaba Shahin; Jiaxin Yu (CoRR, 2023)

On the Concerns of Developers When Using GitHub Copilot. - Xiyu Zhou; Peng Liang 001; Beiqi Zhang; Zengyang Li; Aakash Ahmad; Mojtaba Shahin; Muhammad Waseem (CoRR, 2023)

Intralayer Synchronization in Heterogeneous Multiplex Dynamical Networks Based on Spectral Graph Theory. - Hui Liu 004; Shiman Zhang; Chai Wah Wu; Xiaoqun Wu; Zengyang Li; Jiangqiao Xu (IEEE J. Emerg. Sel. Topics Circuits Syst., 2023)

Exploring the Impact of Code Clones on Deep Learning Software. - Ran Mo; Yao Zhang 028; Yushuo Wang; Siyuan Zhang; Pu Xiong; Zengyang Li; Yang Zhao (ACM Trans. Softw. Eng. Methodol., 2023)

Copilot-in-the-Loop: Fixing Code Smells in Copilot-Generated Python Code using Copilot. - Beiqi Zhang; Peng Liang 001; Qiong Feng; Yujia Fu; Zengyang Li (ASE, 2024)

Copilot Refinement: Addressing Code Smells in Copilot-Generated Python Code. - Beiqi Zhang; Peng Liang 001; Qiong Feng; Yujia Fu; Zengyang Li (CoRR, 2024)

A Comprehensive Evaluation of Parameter-Efficient Fine-Tuning on Method-Level Code Smell Detection. - Beiqi Zhang; Peng Liang 001; Xin Zhou 014; Xiyu Zhou; David Lo 001; Qiong Feng; Zengyang Li; Lin Li (CoRR, 2024)

An exploratory study on just-in-time multi-programming-language bug prediction. - Zengyang Li; Jiabao Ji; Peng Liang 001; Ran Mo; Hui Liu 004 (Inf. Softw. Technol., 2024)

Bug priority change: An empirical study on Apache projects. - Zengyang Li; Guangzong Cai; Qinyi Yu; Peng Liang 001; Ran Mo; Hui Liu 004 (J. Syst. Softw., 2024)

Mining architectural information: A systematic mapping study. - Musengamana Jean de Dieu; Peng Liang 001; Mojtaba Shahin; Chen Yang 007; Zengyang Li (Empir. Softw. Eng., 2024)

Detection-Friendly Nonuniformity Correction: A Union Framework for Infrared UAV Target Detection. - Houzhang Fang; Xiaolin Wang 006; Zengyang Li; Lu Wang 014; Qingshan Li; Yi Chang 002; Luxin Yan (CVPR, 2025)

Architecture decisions in quantum software systems: An empirical study on Stack Exchange and GitHub. - Mst Shamima Aktar; Peng Liang 001; Muhammad Waseem; Amjed Tahir; Aakash Ahmad; Beiqi Zhang; Zengyang Li (Inf. Softw. Technol., 2025)

Unveiling security weaknesses in autonomous driving systems: An in-depth empirical study. - Wenyuan Cheng; Zengyang Li; Peng Liang 001; Ran Mo; Hui Liu 004 (Inf. Softw. Technol., 2025)

Automated detection of inter-language design smells in multi-language deep learning frameworks. - Zengyang Li; Xiaoyong Zhang; Wenshuo Wang; Peng Liang 001; Ran Mo; Jie Tan 002; Hui Liu 004 (Inf. Softw. Technol., 2025)

Demystifying issues, causes and solutions in LLM open-source projects. - Yangxiao Cai; Peng Liang 001; Yifei Wang; Zengyang Li; Mojtaba Shahin (J. Syst. Softw., 2025)

Exploring the problems, their causes and solutions of AI pair programming: A study on GitHub and Stack Overflow. - Xiyu Zhou; Peng Liang 001; Beiqi Zhang; Zengyang Li; Aakash Ahmad; Mojtaba Shahin; Muhammad Waseem (J. Syst. Softw., 2025)

Detection-Friendly Nonuniformity Correction: A Union Framework for Infrared UAVTarget Detection. - Houzhang Fang; Xiaolin Wang 006; Zengyang Li; Lu Wang 014; Qingshan Li; Yi Chang 002; Luxin Yan (CoRR, 2025)

Using LLMs in Generating Design Rationale for Software Architecture Decisions. - Xiyu Zhou; Ruiyin Li; Peng Liang 001; Beiqi Zhang; Mojtaba Shahin; Zengyang Li; Chen Yang 007 (CoRR, 2025)

Unveiling the Role of ChatGPT in Software Development: Insights from Developer-ChatGPT Interactions on GitHub. - Ruiyin Li; Peng Liang 001; Yifei Wang; Yangxiao Cai; Weisong Sun; Zengyang Li (CoRR, 2025)

Leveraging Modular Architecture for Bug Characterization and Analysis in Automated Driving Software. - Yingjie Jiang; Ran Mo; Wenjing Zhan; Dongyu Wang; Zengyang Li; Yutao Ma (ACM Trans. Softw. Eng. Methodol., 2025)

Fine-Tuning Code Language Models to Detect Cross-Language Bugs. - Zengyang Li; Yimeng Li; Binbin Huang; Peng Liang 001; Ran Mo; Hui Liu 004; Yutao Ma (CoRR, 2025)

Optimizing Pinning-Synchronization and Mining Pinned-Nodes of Directed Networks. - Hui Liu 004; Manqiao Lü; Xi Zhang 007; Zengyang Li; Guanrong Chen; Zhigang Zeng; Jinhu Lü (IEEE Trans. Syst. Man Cybern. Syst., 2025)

Assessing and Analyzing the Correctness of GitHub Copilot's Code Suggestions. - Ran Mo; Dongyu Wang; Wenjing Zhan; Yingjie Jiang; Yepeng Wang; Yuqi Zhao; Zengyang Li; Yutao Ma (ACM Trans. Softw. Eng. Methodol., 2025)