Beyond Surface Similarity: Evaluating LLM-Based Test Refactorings with Structural and Semantic Awareness.
CoRR, June, 2025
Mind the Gap: A Readability-Aware Metric for Test Code Complexity.
CoRR, June, 2025
An LLM-as-Judge Metric for Bridging the Gap with Human Evaluation in SE Tasks.
CoRR, May, 2025
CODE-DITING: A Reasoning-Based Metric for Functional Alignment in Code Evaluation.
CoRR, May, 2025
Assessing and Advancing Benchmarks for Evaluating Large Language Models in Software Engineering Tasks.
CoRR, May, 2025
Bridging expert knowledge with deep learning techniques for just-in-time defect prediction.
Empir. Softw. Eng., February, 2025
Bridging Bug Localization and Issue Fixing: A Hierarchical Localization Framework Leveraging Large Language Models.
CoRR, February, 2025
LessLeak-Bench: A First Investigation of Data Leakage in LLMs Across 83 Software Engineering Benchmarks.
CoRR, February, 2025
JIT-CF: Integrating contrastive learning with feature fusion for enhanced just-in-time defect prediction.
Inf. Softw. Technol., 2025
Leveraging Large Language Model for Automatic Patch Correctness Assessment.
IEEE Trans. Software Eng., November, 2024
Representation Learning for Stack Overflow Posts: How Far Are We?
ACM Trans. Softw. Eng. Methodol., March, 2024
Big Code Search: A Bibliography.
ACM Comput. Surv., January, 2024
A Comprehensive Evaluation of Parameter-Efficient Fine-Tuning on Method-Level Code Smell Detection.
CoRR, 2024
Less is More: DocString Compression in Code Generation.
CoRR, 2024
Comparison of Static Application Security Testing Tools and Large Language Models for Repo-level Vulnerability Detection.
CoRR, 2024
Large Language Model for Vulnerability Detection and Repair: Literature Review and the Road Ahead.
CoRR, 2024
Large Language Model as Synthesizer: Fusing Diverse Inputs for Better Automatic Vulnerability Repair.
CoRR, 2024
Large Language Model for Vulnerability Detection: Emerging Results and Future Directions.
Proceedings of the 2024 ACM/IEEE 44th International Conference on Software Engineering: New Ideas and Emerging Results, 2024
Out of Sight, Out of Mind: Better Automatic Vulnerability Repair by Broadening Input Ranges and Sources.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024
Curiosity-Driven Testing for Sequential Decision-Making Process.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024
DexBERT: Effective, Task-Agnostic and Fine-Grained Representation Learning of Android Bytecode.
IEEE Trans. Software Eng., October, 2023
How are We Detecting Inconsistent Method Names? An Empirical Study from Code Review Perspective.
CoRR, 2023
Exploring Parameter-Efficient Fine-Tuning Techniques for Code Generation with Large Language Models.
CoRR, 2023
Generation-based Code Review Automation: How Far Are We?
CoRR, 2023
PatchZero: Zero-Shot Automatic Patch Correctness Assessment.
CoRR, 2023
Prioritizing Speech Test Cases.
CoRR, 2023
On the Usage of Continual Learning for Out-of-Distribution Generalization in Pre-trained Language Models of Code.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023
The Devil is in the Tails: How Long-Tailed Code Distributions Impact Large Language Models.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023
Generation-based Code Review Automation: How Far Are Weƒ.
Proceedings of the 31st IEEE/ACM International Conference on Program Comprehension, 2023
CCBERT: Self-Supervised Code Change Representation Learning.
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2023
A Pre-Trained BERT Model for Android Applications.
CoRR, 2022
Answer Summarization for Technical Queries: Benchmark and New Approach.
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Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022
Simple or complex?: together for a more accurate just-in-time defect predictor.
Proceedings of the 30th IEEE/ACM International Conference on Program Comprehension, 2022
Assessing Generalizability of CodeBERT.
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2021