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Peng Liang 0001
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Publications
- 2024
- [i60]Beiqi Zhang, Peng Liang, Qiong Feng, Yujia Fu, Zengyang Li:
Copilot Refinement: Addressing Code Smells in Copilot-Generated Python Code. CoRR abs/2401.14176 (2024) - 2023
- [c97]Zengyang Li, Wenshuo Wang, Sicheng Wang, Peng Liang, Ran Mo:
Understanding Resolution of Multi-Language Bugs: An Empirical Study on Apache Projects. ESEM 2023: 1-11 - [c95]Zengyang Li, Sicheng Wang, Wenshuo Wang, Peng Liang, Ran Mo, Bing Li:
Understanding Bugs in Multi-Language Deep Learning Frameworks. ICPC 2023: 328-338 - [i53]Zengyang Li, Sicheng Wang, Wenshuo Wang, Peng Liang, Ran Mo, Bing Li:
Understanding Bugs in Multi-Language Deep Learning Frameworks. CoRR abs/2303.02695 (2023) - [i45]Zengyang Li, Wenshuo Wang, Sicheng Wang, Peng Liang, Ran Mo:
Understanding Resolution of Multi-Language Bugs: An Empirical Study on Apache Projects. CoRR abs/2307.01970 (2023) - [i41]Yujia Fu, Peng Liang, Amjed Tahir, Zengyang Li, Mojtaba Shahin, Jiaxin Yu:
Security Weaknesses of Copilot Generated Code in GitHub. CoRR abs/2310.02059 (2023) - [i38]Xiyu Zhou, Peng Liang, Beiqi Zhang, Zengyang Li, Aakash Ahmad, Mojtaba Shahin, Muhammad Waseem:
On the Concerns of Developers When Using GitHub Copilot. CoRR abs/2311.01020 (2023) - [i37]Zengyang Li, Xiaoxiao Qi, Qinyi Yu, Peng Liang, Ran Mo, Chen Yang:
Exploring Multi-Programming-Language Commits and Their Impacts on Software Quality: An Empirical Study on Apache Projects. CoRR abs/2311.08424 (2023) - [i36]Mst Shamima Aktar, Peng Liang, Muhammad Waseem, Amjed Tahir, Aakash Ahmad, Beiqi Zhang, Zengyang Li:
Architecture Decisions in Quantum Software Systems: An Empirical Study on Stack Exchange and GitHub. CoRR abs/2312.05421 (2023) - 2022
- [j40]Can Cheng, Bing Li, Zengyang Li, Peng Liang, Xiaofeng Han, Jiahua Zhang:
Improving generality and accuracy of existing public development project selection methods: a study on GitHub ecosystem. Autom. Softw. Eng. 29(1): 33 (2022) - [j38]Can Cheng, Bing Li, Zengyang Li, Peng Liang, Xu Yang:
An in-depth study of the effects of methods on the dataset selection of public development projects. IET Softw. 16(2): 146-166 (2022) - [j35]Zengyang Li, Xiaoxiao Qi, Qinyi Yu, Peng Liang, Ran Mo, Chen Yang:
Exploring multi-programming-language commits and their impacts on software quality: An empirical study on Apache projects. J. Syst. Softw. 194: 111508 (2022) - [c91]Liming Fu, Peng Liang, Zeeshan Rasheed, Zengyang Li, Amjed Tahir, Xiaofeng Han:
Potential Technical Debt and Its Resolution in Code Reviews: An Exploratory Study of the OpenStack and Qt Communities. ESEM 2022: 216-226 - [c86]Zengyang Li, Jieling Xu, Guangzong Cai, Peng Liang, Ran Mo:
A Preliminary Study on the Explicitness of Bug Associations. SEKE 2022: 212-215 - [c85]Yajing Luo, Peng Liang, Mojtaba Shahin, Zengyang Li, Chen Yang:
Decisions in Continuous Integration and Delivery: An Exploratory Study. SEKE 2022: 457-462 - [i30]Yajing Luo, Peng Liang, Mojtaba Shahin, Zengyang Li, Chen Yang:
Decisions in Continuous Integration and Delivery: An Exploratory Study. CoRR abs/2205.05043 (2022) - [i28]Liming Fu, Peng Liang, Zeeshan Rasheed, Zengyang Li, Amjed Tahir, Xiaofeng Han:
Potential Technical Debt and Its Resolution in Code Reviews: An Exploratory Study of the OpenStack and Qt Communities. CoRR abs/2206.14764 (2022) - [i24]Zengyang Li, Yilin Peng, Peng Liang, Apostolos Ampatzoglou, Ran Mo, Hui Liu, Xiaoxiao Qi:
Technical Debt Management in OSS Projects: An Empirical Study on GitHub. CoRR abs/2212.05537 (2022) - [i22]Musengamana Jean de Dieu, Peng Liang, Mojtaba Shahin, Chen Yang, Zengyang Li:
Mining Architectural Information: A Systematic Mapping Study. CoRR abs/2212.13179 (2022) - 2021
- [j33]Sergei Shcherban, Peng Liang, Zengyang Li, Chen Yang:
Multiclass Classification of UML Diagrams from Images Using Deep Learning. Int. J. Softw. Eng. Knowl. Eng. 31(11&12): 1683-1698 (2021) - [c82]Chen Yang, Peng Liang, Liming Fu, Zengyang Li:
Self-Claimed Assumptions in Deep Learning Frameworks: An Exploratory Study. EASE 2021: 139-148 - [c77]Zengyang Li, Xiaoxiao Qi, Qinyi Yu, Peng Liang, Ran Mo, Chen Yang:
Multi-Programming-Language Commits in OSS: An Empirical Study on Apache Projects. ICPC 2021: 219-229 - [c74]Sergei Shcherban, Peng Liang, Zengyang Li, Chen Yang:
Multiclass Classification of Four Types of UML Diagrams from Images Using Deep Learning. SEKE 2021: 57-62 - [i18]Zengyang Li, Xiaoxiao Qi, Qinyi Yu, Peng Liang, Ran Mo, Chen Yang:
Multi-Programming-Language Commits in OSS: An Empirical Study on Apache Projects. CoRR abs/2103.11691 (2021) - [i16]Chen Yang, Peng Liang, Liming Fu, Zengyang Li:
Self-Claimed Assumptions in Deep Learning Frameworks: An Exploratory Study. CoRR abs/2104.14208 (2021) - 2020
- [j27]Zengyang Li, Peng Liang, Dengwei Li, Ran Mo, Bing Li:
Is Bug Severity in Line with Bug Fixing Change Complexity? Int. J. Softw. Eng. Knowl. Eng. 30(11&12): 1779-1800 (2020) - [c71]Xueying Li, Peng Liang, Zengyang Li:
Automatic Identification of Decisions from the Hibernate Developer Mailing List. EASE 2020: 51-60 - [c68]Zengyang Li, Qinyi Yu, Peng Liang, Ran Mo, Chen Yang:
Interest of Defect Technical Debt: An Exploratory Study on Apache Projects. ICSME 2020: 629-639 - [c67]Zengyang Li, Dengwei Li, Peng Liang, Ran Mo:
An Empirical Investigation on the Relationship Between Bug Severity and Bug Fixing Change Complexity. SEKE 2020: 365-370 - 2018
- [c54]Zhang Di, Bing Li, Zengyang Li, Peng Liang:
A Preliminary Investigation of Self-Admitted Refactorings in Open Source Software (S). SEKE 2018: 165-164 - [c53]Can Cheng, Bing Li, Zengyang Li, Peng Liang:
Automatic Detection of Public Development Projects in Large Open Source Ecosystems: An Exploratory Study on GitHub. SEKE 2018: 193-192 - [i1]Can Cheng, Zengyang Li, Bing Li, Peng Liang:
Automatic Detection of Public Development Projects in Large Open Source Ecosystems: An Exploratory Study on GitHub. CoRR abs/1803.03175 (2018) - 2017
- [j21]Yajun Liu, Bing Li, Zengyang Li, Peng Liang, Minquan Wu:
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). 计算机科学 44(11): 15-21 (2017) - [c45]Zengyang Li, Peng Liang, Bing Li:
Relating alternate modifications to defect density in software development. ICSE (Companion Volume) 2017: 308-310 - 2016
- [c44]Xiao He, Paris Avgeriou, Peng Liang, Zengyang Li:
Technical debt in MDE: a case study on GMF/EMF-based projects. MoDELS 2016: 162-172 - 2015
- [j14]Zengyang Li, Paris Avgeriou, Peng Liang:
A systematic mapping study on technical debt and its management. J. Syst. Softw. 101: 193-220 (2015) - [c39]Zengyang Li, Peng Liang, Paris Avgeriou:
Architectural Technical Debt Identification Based on Architecture Decisions and Change Scenarios. WICSA 2015: 65-74 - 2014
- [c35]Mojtaba Shahin, Peng Liang, Zengyang Li:
Do architectural design decisions improve the understanding of software architecture? two controlled experiments. ICPC 2014: 3-13 - [c34]Zengyang Li, Peng Liang, Paris Avgeriou, Nicolas Guelfi, Apostolos Ampatzoglou:
An empirical investigation of modularity metrics for indicating architectural technical debt. QoSA 2014: 119-128 - 2013
- [j6]Zengyang Li, Peng Liang, Paris Avgeriou:
Application of knowledge-based approaches in software architecture: A systematic mapping study. Inf. Softw. Technol. 55(5): 777-794 (2013) - [c27]Mojtaba Shahin, Peng Liang, Zengyang Li:
Recovering Software Architectural Knowledge from Documentation using Conceptual Model. SEKE 2013: 556-561 - [p4]Zengyang Li, Peng Liang, Paris Avgeriou:
Architectural Debt Management in Value-Oriented Architecting. Economics-Driven Software Architecture 2013: 183-204 - 2011
- [c22]Mojtaba Shahin, Peng Liang, Zengyang Li:
Architectural design decision visualization for architecture design: preliminary results of a controlled experiment. ECSA Companion Volume 2011: 2
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last updated on 2024-03-12 02:09 CET by the dblp team
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