LiGuo Huang, Ph.D.

LiGuo Huang Headshot

LiGuo Huang, Ph.D.

Associate Professor, Computer Science

Office Location: 421 Caruth Hall

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  • Ph.D. in Computer Science, University of Southern California


LiGuo Huang is a tenured Associate Professor at the Department of Computer Science at SMU Lyle. Her research centers around intelligent software development and evolution, the synergy of Machine/Deep Learning, Natural Language Processing and Software Engineering, mining software engineering repositories, software quality assurance, process modeling, simulation and improvement, stakeholder/value-based software engineering, and empirical software engineering. She is the PI of research projects supported by NSF, DoD, and NSA.


Dr. Huang has published over 100 refereed journal, conference papers, and book chapters. She is an Associate Editor of IEEE Transactions on Software Engineering, and Executive Editor of the Journal of Software: Evolution and Process. She is in the Steering Committees of the International Conference on Systems and Software Processes (ICSSP) and Conference on Software Engineering Education and Training (CSEE&T).

Honors and Awards

  • ACM SIGSOFT Distinguished Paper Award (MSR 2023)
  • Outstanding Research and Contributions by Journal of Systems and Software (2019)
  • Associate Editor, IEEE Transactions on Software Engineering
  • Editorial Review Board, Journal of Software: Evolution and Process
  • Steering Committee Member of ICSSP and CSEE&T
  • Co-General Chair of ICSSP 2020


  • AI and Software Engineering
  • Software Data Analytics
  • Software Quality
  • Software Maintenance and Evolution
  • Software and System Processes
  • Empirical Software Engineering

Recent Publications

  • S. Wang, L. Huang (Corresponding Author), A. Gao, J. Ge, T. Zhang, H. Feng, I. Satyarth, M. Li, H. Zhang, and V. Ng, “Machine/Deep Learning for Software Engineering: A Systematic Literature Review”, IEEE Transactions on Software Engineering, vol. 49, no. 3, pp. 1188-1231, 1 March 2023. (Impact Factor: 9.322).
  •  F. Niu, W. Assunção, L. Huang, C. Mayr-Dorn, J. Ge, B. Luo, A. Egyed, “RAT: A Refactoring-Aware Traceability Model for Bug Localization”, Proceedings of IEEE/ACM 45th International Conference on Software Engineering (ICSE 2023). (acceptance rate 26%).
  • D. Port, B. Taber, L. Huang, “SEIP: Investigating a NASA Cyclomatic Complexity Policy on Maintenance Risk of a Critical System”, Proceedings of IEEE/ACM 45th International Conference on Software Engineering (ICSE 2023).
  • F. Niu, C. Mayr-Dorn, W. Assunção, L. Huang, J. Ge, B. Luo, A. Egyed, "The ABLoTS Approach for Bug Localization: is it replicable and generalizable?" Proceedings of 20th IEEE International Conference on Mining Software Repositories (MSR 2023). [ACM SIGSOFT Distinguished Paper Award].
  •  Z. Tang, J. Ge, S. Liu, T. Zhu, T. Xu, L. Huang, B. Luo, “Domain Adaptive Code Completion via Language Models and Decoupled Domain Databases”, Proceedings of 38th IEEE/ACM International Conference on Automated Software Engineering (ASE 2023). (acceptance rate 21%).

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