Software Engineering and Architecture

Software Engineering and Architecture Group (SEARCH) > CS > Bernoulli Institute > FSE > RUG

Publications by Zengyang Li

2021

  1. Chen Yang, Peng Liang, Liming Fu and Zengyang Li (2021) Self-Claimed Assumptions in Deep Learning Frameworks: An Exploratory Study. In Proceedings of the 25th International Conference on Evaluation and Assessment in Software Engineering (EASE).. ACM, pages 139-148. (URL) (BibTeX)
  2. Sergei Shcherban, Peng Liang, Zengyang Li and Chen Yang (2021) Multiclass Classification of Four Types of UML Diagrams from Images Using Deep Learning. In Proceedings of the 33rd International Conference on Software Engineering and Knowledge Engineering (SEKE).. Knowledge Systems Institute, pages 57-62. (URL) (BibTeX)
  3. Zengyang Li, Xiaoxiao Qi, Qinyi Yu, Peng Liang, Ran Mo and Chen Yang (2021) Multi-Programming-Language Commits in OSS: An Empirical Study on Apache Projects. In Proceedings of the 29th International Conference on Program Comprehension (ICPC).. IEEE, pages 219-229. (URL) (BibTeX)

2020

  1. Xueying Li, Peng Liang and Zengyang Li (2020) Automatic Identification of Decisions from the Hibernate Developer Mailing List. In Proceedings of the 24th International Conference on Evaluation and Assessment in Software Engineering (EASE).. ACM, pages 51-60. (URL) (BibTeX)
  2. Zengyang Li, Dengwei Li, Peng Liang and Ran Mo (2020) An Empirical Investigation on the Relationship Between Bug Severity and Bug Fixing Change Complexity. In Proceedings of the 32nd International Conference on Software Engineering and Knowledge Engineering (SEKE).. Knowledge Systems Institute, pages 365-370. (URL) (BibTeX)
  3. Zengyang Li, Qinyi Yu, Peng Liang, Ran Mo and Chen Yang (2020) Interest of Defect Technical Debt: An Exploratory Study on Apache Projects. In Proceedings of the 36th IEEE International Conference on Software Maintenance and Evolution (ICSME).. IEEE, pages 629-639. (URL) (BibTeX)
  4. Zengyang Li, Peng Liang, Dengwei Li, Ran Mo and Bing Li (2020) Is Bug Severity in Line with Bug Fixing Change Complexity? In International Journal of Software Engineering and Knowledge Engineering, pages 30(11&12):1779-1800. World Scientific. (URL) (BibTeX)

2018

  1. Di Zhang, Bing Li, Zengyang Li and Peng Liang (2018) A Preliminary Investigation of Self-Admitted Refactorings in Open Source Software. In Proceedings of the 30th International Conference on Software Engineering and Knowledge Engineering (SEKE).. Knowledge Systems Institute, pages 165-168. (URL) (BibTeX)
  2. Can Cheng, Bing Li, Zengyang Li and Peng Liang (2018) Automatic Detection of Public Development Projects in Large Open Source Ecosystems: An Exploratory Study on GitHub. In Proceedings of the 30th International Conference on Software Engineering and Knowledge Engineering (SEKE).. Knowledge Systems Institute, pages 193-198. (URL) (BibTeX)

2017

  1. Zengyang Li, Peng Liang and Bing Li (2017) Relating Alternate Modifications to Defect Density in Software Development. In Proceedings of the 38th International Conference on Software Engineering (ICSE).. IEEE, pages 308-310. (URL) (BibTeX)

2016

  1. Xiao He, Paris Avgeriou, Peng Liang and Zengyang Li (2016) Technical Debt in MDE: A Case Study on GMF/EMF-Based Projects. In Proceedings of the 19th International Conference on Model Driven Engineering Languages and Systems (MoDELS).. ACM, pages 162-172. (URL) (BibTeX)

2015

  1. Zengyang Li (2015) Managing Technical Debt in Software Architecture. PhD thesis. (URL) (BibTeX)
  2. Zengyang Li, Peng Liang and Paris Avgeriou (2015) Architecture Viewpoints for Documenting Architectural Technical Debt. In Software Quality Assurance in Large Scale and Complex Software-intensive Systems, pages 85-132. Elsevier. (URL) (BibTeX)
  3. Zengyang Li, Paris Avgeriou and Peng Liang (2015) A Systematic Mapping Study on Technical Debt and Its Management. In Journal of Systems and Software, pages 101(3):193-220. Elsevier. (URL) (BibTeX)
  4. Zengyang Li, Peng Liang and Paris Avgeriou (2015) Architectural Technical Debt Identification based on Architecture Decisions and Change Scenarios. In Proceedings of the 12th Working IEEE/IFIP Conference on Software Architecture (WICSA).. IEEE, pages 65-74. (URL) (BibTeX)

2014

  1. Zengyang Li, Peng Liang, Paris Avgeriou, Nicolas Guelfi and Apostolos Ampatzoglou (2014) An Empirical Investigation of Modularity Metrics for Indicating Architectural Technical Debt. In Proceedings of the 10th International Conference on the Quality of Software Architectures (QoSA).. ACM, pages 119-128. (URL) (BibTeX)
  2. Zengyang Li, Peng Liang and Paris Avgeriou (2014) Architectural Debt Management in Value-oriented Architecting. In Economics-Driven Software Architecture, pages 183-204. Elsevier. (URL) (BibTeX)
  3. Mojtaba Shahin, Peng Liang and Zengyang Li (2014) Do Architectural Design Decisions Improve the Understanding of Software Architecture? Two Controlled Experiments. In Proceedings of the 22nd International Conference on Program Comprehension (ICPC).. ACM, pages 3-13. (URL) (BibTeX)

2013

  1. Zengyang Li, Peng Liang and Paris Avgeriou (2013) Application of Knowledge-based Approaches in Software Architecture: A Systematic Mapping Study. In Information and Software Technology, pages 55(5):777-794. Elsevier. (URL) (BibTeX)
  2. Mojtaba Shahin, Peng Liang and Zengyang Li (2013) Recovering Software Architectural Knowledge from Documentation using Conceptual Model. In Proceedings of the 25th International Conference on Software Engineering and Knowledge Engineering (SEKE).. Knowledge Systems Institute, pages 556-561. (URL) (BibTeX)

2011

  1. Mojtaba Shahin, Peng Liang and Zengyang Li (2011) Architectural Design Decision Visualization for Architecture Design: Preliminary Results of A Controlled Experiment. In Proceedings of the 1st Workshop on Traceability, Dependencies and Software Architecture (TDSA).. ACM, pages 5-12. (URL) (BibTeX)