Prof. Jacky Wai Keung, 姜煒

Research output

Research output per year 2004 2016 2017 2018 2019 2021 2023 2024 2025

• 100 RGC 32 - Refereed conference paper (with host publication)
• 85 RGC 21 - Publication in refereed journal
• 7 RGC 32 - Refereed conference paper (without host publication)
• 4 Editorial Preface
• 6 More
  • 2 RGC 22 - Publication in policy or professional journal
  • 2 RGC 47 - Computer software or system
  • 1 RGC 14 - Edited book (Editor)
  • 1 Foreword/preface/postscript

Research output per year

Research output per year

Search results

• 2025

  Beyond Log Parsers: A Scalable AI-Driven Framework for Efficient Log Anomaly Detection in Software Engineering

  Sun, Y., Keung, J., Yu, H. K., Liu, S., Liao, Y. & Zhang, J., 17 Apr 2025, (Accepted/In press/Filed).

  Research output: Conference Papers › RGC 32 - Refereed conference paper (without host publication) › peer-review

  • Software Engineering 100%
  • Anomaly Detection 100%
  • Driven Framework 100%
  • Artificial Intelligence 100%
  • Leaning Parameter 60%

• Effectiveness of Symmetric Metamorphic Relations on Validating the Stability of code generation LLM

  Chan, P. Y. P., Keung, J. & Yang, Z., Apr 2025, In: The Journal of Systems and Software. 222, 112330.

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  • Code Generation 100%
  • Large Language Model 100%
  • Artificial Intelligence 100%
  • Software Development 100%
  • Data Mining 12%

• Enhancing the Transferability of Adversarial Attacks for End-to-End Autonomous Driving Systems

  Zhang, J., Keung, J., Ma, X., Liao, Y., Li, Y. & Sun, Y., 25 Apr 2025, 2024 31st Asia-Pacific Software Engineering Conference (APSEC). IEEE, p. 171-180

  Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

  • Adversarial Machine Learning 100%
  • Autonomous Driving 100%
  • Deep Learning Method 33%
  • Image Classification 16%
  • Black-Box Attack 16%

• Identifying Inconsistent Software Defect Predictions with Symmetry Metamorphic Relation Pattern

  Chan, P. Y. P., Keung, J. & Yang, Z., Sept 2025, In: The Journal of Systems and Software. 227, 112449.

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  • Software Defect 100%
  • Defect Prediction 100%
  • Explainable Artificial Intelligence 66%
  • Training Dataset 33%
  • Machine Learning Algorithm 33%

• Identifying the cause of performance issues of Pretrained Language Model for Educational Technology

  Chan, P. Y. P. & Keung, J., 14 May 2025, (Accepted/In press/Filed).

  Research output: Conference Papers › RGC 32 - Refereed conference paper (without host publication) › peer-review

  • Language Modeling 100%
  • Performance Issue 100%
  • Educational Technology 100%
  • Common Sense 33%
  • Content Quality 22%

• Large language model ChatGPT versus small deep learning models for self-admitted technical debt detection: Why not together?

  Li, J., Li, L., Liu, J., Yu, X., Liu, X. & Keung, J. W., Jan 2025, In: Software - Practice and Experience. 55, 1, p. 3-28

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  • Deep Learning Model 100%
  • ChatGPT 100%
  • Large Language Model 100%
  • Good Performance 14%
  • classification result 14%
  4 Citations (Scopus)

• Less Is More: Unlocking Semi-Supervised Deep Learning for Vulnerability Detection

  YU, X., LIN, G., HU, X., KEUNG, J. W. & XIA, X., Mar 2025, In: ACM Transactions on Software Engineering and Methodology. 34, 3, 62.

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  • Vulnerability Detection 100%
  • Deep Learning Method 100%
  • Limited Labeled Data 25%
  • Training Data 16%
  • Deep Learning Model 16%
  1 Citation (Scopus)

• NegCPARBP: Enhancing Privacy Protection for Cross-Project Aging-Related Bug Prediction Based on Negative Database

  Zhao, D., Liu, Z., Zhang, F., Liu, L., Keung, J. W. & Yu, X., 6 Mar 2025, (Online published) In: IEEE Transactions on Emerging Topics in Computing.

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  • Feature Vector 100%
  • Privacy Protection 100%
  • Experimental Result 25%
  • Software Systems 25%
  • Performance Degradation 25%

• On the Influence of Data Resampling for Deep Learning-Based Log Anomaly Detection: Insights and Recommendations

  Ma, X., Zou, H., He, P., Keung, J., Li, Y., Yu, X. & Sarro, F., Jan 2025, In: IEEE Transactions on Software Engineering. 51, 1, p. 243-261

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  • Anomaly Detection 100%
  • Class Imbalance 100%
  • Deep Learning Method 100%
  • Resampling Method 100%
  • Oversampling 66%

• SemiRALD: A semi-supervised hybrid language model for robust Anomalous Log Detection

  Sun, Y., Keung, J. W., Yang, Z., Liu, S. & Yu, H. K., Jul 2025, In: Information and Software Technology. 183, 19 p., 107743.

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  • Language Modeling 100%
  • Parsing 100%
  • Semisupervised Learning 75%
  • Anomaly Detection 50%
  • Deep Learning Method 50%

• StuLAC: An Adaptive LLM-Driven Framework for Scalable Student Feedback Analysis in Software-Driven Educational Systems

  Sun, Y., Yu, H. K., Keung, J., Cao, Y. & Liao, Y., 17 Apr 2025, (Accepted/In press/Filed).

  Research output: Conference Papers › RGC 32 - Refereed conference paper (without host publication) › peer-review

  • Driven Software 100%
  • Driven Framework 100%
  • Large Language Model 100%
  • Decision-Making 50%
  • Processing Time 50%
• 2024

  Agile Requirements Engineering in a Distributed Environment: Experiences from the Software Industry during Unprecedented Global Challenges

  Li, Y., Keung, J., Bennin, K. E., Ma, X., Zhang, J. & Yang, Z., 2024, Proceedings - 2024 IEEE 48th Annual Computers, Software, and Applications Conference. Shahriar, H., Ohsaki, H. & Sharmin, M. (eds.). IEEE, p. 682-691

  Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

  • Distributed Environment 100%
  • Requirement Engineering 100%
  • Software Development 12%
  1 Citation (Scopus)

• A Semisupervised Approach for Industrial Anomaly Detection via Self-Adaptive Clustering

  Ma, X., Keung, J., He, P., Xiao, Y., Yu, X. & Li, Y., Feb 2024, In: IEEE Transactions on Industrial Informatics. 20, 2, p. 1687-1697 12 p., 10138120.

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  • Detect Anomaly 100%
  • Anomaly Detection 100%
  • Contextual Information 50%
  • Rapid Development 50%
  • Log Data 50%
  9 Citations (Scopus)

• A Symmetric Metamorphic Relations Approach Supporting LLM for Education Technology

  Chan, P. Y. P. & Keung, J., 2024, Proceedings - 2024 International Symposium on Educational Technology: ISET 2024. IEEE, p. 39-43 (Proceedings - International Symposium on Educational Technology, ISET).

  Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

  • Large Language Model 100%
  • Human Performance 100%
  • Common Sense 30%
  • Training Data 20%
  • Experimental Result 10%

• Co-clustering for Federated Recommender System

  He, X., Liu, S., Keung, J. & He, J., May 2024, WWW '24: Proceedings of the ACM on Web Conference 2024. Association for Computing Machinery, p. 3821-3832

  Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

  Open Access

  • Recommender Systems 100%
  • Collaborative Filtering 100%
  • High Dimensionality 50%
  • Sparsity 50%
  • Data Security 50%
  6 Citations (Scopus)

• Data Preparation for Deep Learning based Code Smell Detection: A Systematic Literature Review

  Zhang, F., Zhang, Z., Keung, J. W., Tang, X., Yang, Z., Yu, X. & Hu, W., Oct 2024, In: Journal of Systems and Software. 216, 112131.

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  • Data Preparation 100%
  • Deep Learning Method 100%
  • Detection Method 66%
  • Deep Learning Technique 66%
  • Maintainability 33%
  5 Citations (Scopus)

• Delving into Parameter-Efficient Fine-Tuning in Code Change Learning: An Empirical Study

  Liu, S., Keung, J., Yang, Z., Liu, F., Zhou, Q. & Liao, Y., 2024, Proceedings - 2024 IEEE International Conference on Software Analysis, Evolution and Reengineering: SANER 2024. IEEE, p. 465-476 (Proceedings - IEEE International Conference on Software Analysis, Evolution and Reengineering, SANER).

  Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

  • Pre-Trained Language Models 100%
  • Just-in-Time 75%
  • Defect Prediction 75%
  • Deep Understanding 25%
  • Superior Performance 25%
  3 Citations (Scopus)

• Enhancing Deep Learning Vulnerability Detection through Imbalance Loss Functions: An Empirical Study

  He, Y., Lin, G., Ma, X., Keung, J. W., Tan, C., Hu, W. & Li, F., 2024, 15th Asia-Pacific Symposium on Internetware (Internetware 2024) - Proceedings. Mei, H., Lv, J., Helal, A., Ma, X., Cheung, S.-C., Zhang, J. & Zhang, T. (eds.). Association for Computing Machinery, p. 85-94 (ACM International Conference Proceeding Series).

  Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

  • Vulnerability Detection 100%
  • Deep Learning Method 100%
  • Interpretability 22%
  • Information Loss 22%
  • Performance Metric 11%

• Enhancing Valid Test Input Generation with Distribution Awareness for Deep Neural Networks

  Zhang, J., Keung, J., Ma, X., Li, X., Xiao, Y., Li, Y. & Chan, W. K., 2024, Proceedings - 2024 IEEE 48th Annual Computers, Software, and Applications Conference. Shahriar, H., Ohsaki, H. & Sharmin, M. (eds.). IEEE, p. 1095-1100

  Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

  • Classification Task 100%
  • Deep Neural Network 100%
  • Regression Task 100%
  • Deep Learning Method 100%
  • Neural Network 100%
  1 Citation (Scopus)

• Exploring and Unleashing the Power of Large Language Models in Automated Code Translation

  YANG, Z., LIU, F., YU, Z., KEUNG, J. W., LI, J., LIU, S., HONG, Y., MA, X., JIN, Z. & LI, G., Jul 2024, In: Proceedings of the ACM on Software Engineering. 1, FSE, 71.

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  Open Access

  • Large Language Model 100%
  • Target Program 28%
  • Generated Test Case 14%
  • Input/Output 14%
  • Execution Result 14%

• Fight Fire with Fire: How Much Can We Trust ChatGPT on Source Code-Related Tasks?

  Yu, X., Liu, L., Hu, X., Keung, J. W., Liu, J. & Xia, X., Dec 2024, In: IEEE Transactions on Software Engineering. 50, 12, p. 3435-3453

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  • ChatGPT 100%
  • multi agent 13%
  • Code Generation 13%
  • Software Development 6%
  • Large Language Model 6%

• Improving domain-specific neural code generation with few-shot meta-learning

  Yang, Z., Keung, J. W., Sun, Z., Zhao, Y., Li, G., Jin, Z., LIU, S. & LI, Y., Feb 2024, In: Information and Software Technology. 166, 107365.

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  • Code Generation 100%
  • Meta-Learning 100%
  • Source Language 50%
  • Programming Language 50%
  • Performance Model 12%
  4 Citations (Scopus)

• Improving effort-aware defect prediction by directly learning to rank software modules

  Yu, X., Rao, J., Liu, L., Lin, G., Hu, W., Keung, J. W., Zhou, J. & Xiang, J., Jan 2024, In: Information and Software Technology. 165, 107250.

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  • Software Module 100%
  • Defect Prediction 100%
  • Prediction Model 37%
  • Lines of Code 25%
  • Experimental Result 12%
  18 Citations (Scopus)

• Improving the undersampling technique by optimizing the termination condition for software defect prediction

  Feng, S., Keung, J., Xiao, Y., Zhang, P., Yu, X. & Cao, X., Jan 2024, In: Expert Systems with Applications. 235, 121084.

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  • Software Defect 100%
  • Termination Condition 100%
  • Defect Prediction 100%
  • Majority Class 62%
  • Class Instance 37%
  31 Citations (Scopus)

• Integrating Generative AI in Software Engineering Education: Practical Strategies

  LI, Y., Keung, J. & MA, K. X., 2024, Proceedings - 2024 International Symposium on Educational Technology: ISET 2024. IEEE, p. 49-53

  Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

  • Generative Artificial Intelligence 100%
  • Software Engineering Education 100%
  • Engineering Education 100%
  • Artificial Intelligence 100%
  • Software Development 40%

• LLM-based Class Diagram Derivation from User Stories with Chain-of-Thought Promptings

  Li, Y., Keung, J., Ma, X., Chong, C. Y., Zhang, J. & Liao, Y., 2024, Proceedings - 2024 IEEE 48th Annual Computers, Software, and Applications Conference, COMPSAC 2024. IEEE, p. 45-50 (Proceedings - IEEE Annual Computers, Software, and Applications Conference, COMPSAC).

  Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

  • class diagram 100%
  • Large Language Model 100%
  • Conceptual Model 20%
  • Applied Technique 20%
  • Requirement Engineering 20%
  1 Citation (Scopus)

• Practitioners' Expectations on Automated Test Generation

  Yu, X., Liu, L., Hu, X., Keung, J., Xia, X. & Lo, D., Sept 2024, ISSTA 2024: Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis. Association for Computing Machinery, p. 1618-1630 (ISSTA - Proceedings of ACM SIGSOFT International Symposium on Software Testing and Analysis).

  Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

  • Qualitative Method 100%
  • Semistructured Interview 100%
  • Mixed Methods 100%
  • Automated Test 100%
  • Test Generation 100%
  2 Citations (Scopus)

• Practitioners' Expectations on Code Smell Detection

  Zhang, Z., Yin, S., Wei, W., Ma, X., Keung, J. W., Li, F. & Hu, W., 2024, Proceedings - 2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC 2024). IEEE, p. 1324-1333 (Proceedings - IEEE Annual Computers, Software, and Applications Conference, COMPSAC).

  Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

  • Maintainability 100%
  • Software Development 100%
  • Software Practitioner 100%

• SimAC: Simulating Agile Collaboration to Generate Acceptance Criteria in User Story Elaboration

  Li, Y., Keung, J., Yang, Z., Ma, X., Zhang, J. & Liu, S., Nov 2024, In: Automated Software Engineering. 31, 2, 55.

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  • Acceptance Criterion 100%
  • Large Language Model 75%
  • Requirement Engineering 25%
  • Supervised Learning 12%
  • Case Study 12%
  1 Citation (Scopus)

• TerGEC: A Graph Enhanced Contrastive Approach for Program Termination Analysis

  Liu, S., Keung, J. W., Yang, Z., Liao, Y. & Li, Y., Oct 2024, In: Science of Computer Programming. 237, 103141.

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  • Detection Process 100%
  • Termination Analysis 100%
  • Deep Learning Method 100%
  • Detection Method 50%
  • Denial-of-Service 50%

• Uncertainty-Based Metamorphic Testing for Validating Plagiarism Detection Systems

  Chan, P. Y. P., Keung, J. & Yang, Z., 2024, Technology in Education. Innovative Practices for the New Normal: 6th International Conference on Technology in Education, ICTE 2023, Hong Kong, China, December 19–21, 2023, Proceedings. Cheung, S. K. S., Wang, F. L., Paoprasert, N., Charnsethikul, P., Li, K. C. & Phusavat, K. (eds.). Springer , p. 299-314 (Communications in Computer and Information Science; vol. 1974).

  Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

  • Plagiarism Detection 100%
  • Singapore 100%
  • Plagiarism 20%
  • Similarity Score 20%
  • Incorrect Behavior 20%

• UniAda: Universal Adaptive Multiobjective Adversarial Attack for End-to-End Autonomous Driving Systems

  Zhang, J., Keung, J. W., Xiao, Y., Liao, Y., Li, Y. & Ma, X., Dec 2024, In: IEEE Transactions on Reliability. 73, 4, p. 1892-1906

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  • Multiobjective 100%
  • Adversarial Machine Learning 100%
  • Autonomous Driving 100%
  • Deep Learning Method 100%
  • Learning System 50%
  1 Citation (Scopus)

• Unveiling Hidden Anomalies: Leveraging SMAC-LSTM for Enhanced Software Log Analysis

  Sun, Y., Keung, J., Zhang, J., Yu, H. K., Luo, W. & Liu, S., Jul 2024, Proceedings - 2024 IEEE 48th Annual Computers, Software, and Applications Conference, COMPSAC 2024. Shahriar, H., Ohsaki, H., Sharmin, M., Towey, D., Majumder, A. J. A., Hori, Y., Yang, J.-J., Takemoto, M., Sakib, N., Banno, R. & Ahamed, S. I. (eds.). Los Alamitos, Calif.: IEEE, p. 1178-1183 6 p. (Proceedings - IEEE Annual Computers, Software, and Applications Conference, COMPSAC ).

  Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

  • Log Analysis 100%
  • Long Short-Term Memory Network 100%
  • Sequential Model 100%
  • Short Term Memory 100%
  • Time Series 100%

• Validating pretrained language models for content quality classification with semantic-preserving metamorphic relations

  Chan, P. Y. P. & Keung, J., Dec 2024, In: Natural Language Processing Journal. 9, 8 p., 100114.

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  Open Access

  File

  • Content Quality 100%
  • Language Modeling 100%
  • Common Practice 7%
  • Training Dataset 7%
  • Common Sense Knowledge 7%
  36 Downloads (CityUHK Scholars)

• Validating Unsupervised Machine Learning Techniques for Software Defect Prediction with Generic Metamorphic Testing

  CHAN, P. Y. P. & KEUNG, J., 2024, In: IEEE Access. 12, p. 165155-165172

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  Open Access

  File

  • Machine Learning Technique 100%
  • Software Defect 100%
  • Defect Prediction 100%
  • Prediction Model 80%
  • Mutation Operator 10%
  10 Downloads (CityUHK Scholars)
• 2023

  A multi-objective effort-aware defect prediction approach based on NSGA-II

  Yu, X., Liu, L., Zhu, L., Keung, J. W., Wang, Z. & Li, F., Dec 2023, In: Applied Soft Computing. 149, Part A, 110941.

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  • Multiobjective 100%
  • Non-Dominated Sorting Genetic Algorithm II 100%
  • Defect Prediction 100%
  • Defectives 100%
  • Logistic Regression Model 100%
  7 Citations (Scopus)

• ATTSUM: A Deep Attention-Based Summarization Model for Bug Report Title Generation

  Ma, X., Keung, J. W., Yu, X., Zou, H., Zhang, J. & Li, Y., Dec 2023, In: IEEE Transactions on Reliability. 72, 4, p. 1663-1677

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  • bug report 100%
  • Long Short-Term Memory Network 25%
  • Representation Method 12%
  • Training Data 12%
  • Software Developer 12%
  13 Citations (Scopus)

• Cross-Modal and Cross-Domain Knowledge Transfer for Label-Free 3D Segmentation

  Zhang, J., Yang, H., Wu, D.-J., Keung, J., Li, X., Zhu, X. & Ma, Y., Oct 2023, Pattern Recognition and Computer Vision: 6th Chinese Conference, PRCV 2023, Proceedings, Part III. Liu, Q., Wang, H., Ma, Z., Zheng, W., Zha, H., Chen, X., Wang, L. & Ji, R. (eds.). 1 ed. Springer Singapore, p. 465-477 (Lecture Notes in Computer Science; vol. 14427).

  Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

  • Domain Knowledge 100%
  • Knowledge Transfer 100%
  • Point Cloud 100%
  • 3D Segmentation 100%
  • Annotation 25%
  1 Citation (Scopus)

• Diverse title generation for Stack Overflow posts with multiple-sampling-enhanced transformer

  Zhang, F., Liu, J., Wan, Y., Yu, X., Liu, X. & Keung, J., Jun 2023, In: The Journal of Systems and Software. 200, 111672.

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  • Evaluation Result 100%
  • World Application 100%
  • Problem Description 100%
  • Baseline Model 100%
  • Language Understanding 100%
  8 Citations (Scopus)

• Finding the best learning to rank algorithms for effort-aware defect prediction

  Yu, X., Dai, H., Li, L., Gu, X., Keung, J. W., Bennin, K. E., Li, F. & Liu, J., May 2023, In: Information and Software Technology. 157, 107165.

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  • Defect Prediction 100%
  • Rank Algorithm 100%
  • Design Experiment 20%
  • Software Module 20%
  • Support Vector Machine 20%
  19 Citations (Scopus)

• ISSRE 2021 special section

  Keung, J. W., Mariani, L., Xiang, J. & Yu, X., Jul 2023, In: Information and Software Technology. 159, 107227.

  Research output: Journal Publications and Reviews › Editorial Preface

• Learning Gaps in Project-based Requirements Engineering Education - A Case Study of Student Projects

  Li, Y., Keung, J., Ma, X., Zhang, J., Yang, Z. & Liu, S., 2023, Proceedings - 2023 International Symposium on Educational Technology, ISET 2023. Lee, L.-K., Hui, Y. K., Chui, K. T., Li, Q. & Wong, L.-P. (eds.). IEEE, p. 239-243

  Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

  • Case Study 100%
  • Engineering Education 100%
  • Requirement Engineering 100%
  • Software Requirements 20%
  • Software Engineering 20%
  1 Citation (Scopus)

• New Technique for Stock Trend Analysis – Volume-weighted Squared Moving Average Convergence & Divergence

  Au, S. C. & Keung, J. W., 2023, Proceedings - 2023 IEEE 47th Annual Computers, Software, and Applications Conference, COMPSAC 2023. IEEE, p. 987-988 (Proceedings - International Computer Software and Applications Conference).

  Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

  • Moving Average 100%
  • Trend Analysis 100%
  • Smoothing Technique 100%
  • Data Analysis 20%
  • Input Parameter 20%
  4 Citations (Scopus)

• On the relative value of imbalanced learning for code smell detection

  Li, F., Zou, K., Keung, J. W., Yu, X., Feng, S. & Xiao, Y., Oct 2023, In: Software - Practice and Experience. 53, 10, p. 1902-1927

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  • Learning Technique 100%
  • Relative Value 100%
  • Sampling Technique 28%
  • Detection Performance 28%
  • Machine Learning 28%
  18 Citations (Scopus)

• On the Significance of Category Prediction for Code-Comment Synchronization

  YANG, Z., KEUNG, J. W., YU, X., XIAO, Y., JIN, Z. & ZHANG, J., Apr 2023, In: ACM Transactions on Software Engineering and Methodology. 32, 2, p. 1–41

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  • Ensemble Learning 100%
  • Deep Learning Method 100%
  • Prediction Model 50%
  • Machine Translation 50%
  • Relative Distance 50%
  35 Citations (Scopus)

• RepoCoder: Repository-Level Code Completion Through Iterative Retrieval and Generation

  Zhang, F., Chen, B., Zhang, Y., Keung, J., Liu, J., Zan, D., Mao, Y., Lou, J.-G. & Chen, W., Dec 2023, Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing. Bouamor, H., Pino, J. & Bali, K. (eds.). Association for Computational Linguistics, p. 2471–2484 (EMNLP - Conference on Empirical Methods in Natural Language Processing, Proceedings).

  Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

  Open Access

  File

  • Information Retrieval 100%
  • Experimental Result 33%
  • Language Modeling 33%
  • Granularity 33%
  • Computational Linguistics 33%
  31 Citations (Scopus)

  68 Downloads (CityUHK Scholars)

• Revisiting ‘revisiting supervised methods for effort-aware cross-project defect prediction’

  Li, F., Yang, P., Keung, J. W., Hu, W., Luo, H. & Yu, X., Aug 2023, In: IET Software. 17, 4, p. 472-495

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  Open Access

  File

  • Supervised Method 100%
  • Defect Prediction 100%
  • Defect Density 100%
  • Metrics 40%
  • Joint Distribution 40%
  10 Citations (Scopus)

  77 Downloads (CityUHK Scholars)

• The impact of class imbalance techniques on crashing fault residence prediction models

  Zhao, K., Xu, Z., Yan, M., Zhang, T., Xue, L., Fan, M. & Keung, J., Mar 2023, In: Empirical Software Engineering. 28, 2, 49.

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  • Prediction Model 100%
  • Class Imbalance 100%
  • Experimental Result 50%
  • Feature Selection 50%
  • Learning Technique 50%
  6 Citations (Scopus)

• The impact of feature selection techniques on effort-aware defect prediction: An empirical study

  Li, F., Lu, W., Keung, J. W., Yu, X., Gong, L. & Li, J., Apr 2023, In: IET Software. 17, 2, p. 168-193

  Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

  Open Access

  File

  • Feature Selection 100%
  • Defect Prediction 100%
  • Feature Extraction 100%
  • Forward Search 50%
  • Prediction Model 33%
  27 Citations (Scopus)

  31 Downloads (CityUHK Scholars)

• The Impact of the bug number on Effort-Aware Defect Prediction: An Empirical Study

  Yang, P., Zhu, L., Hu, W., Keung, J. W., Lu, L. & Xiang, J., 2023, 14th Asia-Pacific Symposium on Internetware (Internetware 2023) - Proceedings. Association for Computing Machinery, p. 67-78 (ACM International Conference Proceeding Series).

  Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

  • Defect Prediction 100%
  • Prediction Model 50%
  • Software Defect 50%
  • Information Number 50%
  • Experimental Result 16%
  1 Citation (Scopus)