Weisong Sun

Orcid: 0000-0001-9236-8264

According to our database1, Weisong Sun authored at least 48 papers between 2016 and 2024.

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Bibliography

2024
Esale: Enhancing Code-Summary Alignment Learning for Source Code Summarization.
IEEE Trans. Software Eng., August, 2024

A Survey of Source Code Search: A 3-Dimensional Perspective.
ACM Trans. Softw. Eng. Methodol., July, 2024

Machine Translation Testing via Syntactic Tree Pruning.
ACM Trans. Softw. Eng. Methodol., June, 2024

APPT: Boosting Automated Patch Correctness Prediction via Fine-Tuning Pre-Trained Models.
IEEE Trans. Software Eng., March, 2024

An Extractive-and-Abstractive Framework for Source Code Summarization.
ACM Trans. Softw. Eng. Methodol., March, 2024

A Survey of Learning-based Automated Program Repair.
ACM Trans. Softw. Eng. Methodol., February, 2024

Pre-Trained Model-Based Automated Software Vulnerability Repair: How Far are We?
IEEE Trans. Dependable Secur. Comput., 2024

Demonstration Attack against In-Context Learning for Code Intelligence.
CoRR, 2024

SoVAR: Building Generalizable Scenarios from Accident Reports for Autonomous Driving Testing.
CoRR, 2024

Image-Based Geolocation Using Large Vision-Language Models.
CoRR, 2024

Eliminating Backdoors in Neural Code Models via Trigger Inversion.
CoRR, 2024

Source Code Summarization in the Era of Large Language Models.
CoRR, 2024

TIGER: A Generating-Then-Ranking Framework for Practical Python Type Inference.
CoRR, 2024

Self and Cross-Model Distillation for LLMs: Effective Methods for Refusal Pattern Alignment.
CoRR, 2024

Mutual Information Guided Backdoor Mitigation for Pre-trained Encoders.
CoRR, 2024

Towards Effective Detection of Ponzi schemes on Ethereum with Contract Runtime Behavior Graph.
CoRR, 2024

A Systematic Literature Review on Large Language Models for Automated Program Repair.
CoRR, 2024

An Empirical Study of Automated Vulnerability Localization with Large Language Models.
CoRR, 2024

On the Effectiveness of Distillation in Mitigating Backdoors in Pre-trained Encoder.
CoRR, 2024

Teaching Code LLMs to Use Autocompletion Tools in Repository-Level Code Generation.
CoRR, 2024

CooTest: An Automated Testing Approach for V2X Communication Systems.
Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

2023
A Prompt Learning Framework for Source Code Summarization.
CoRR, 2023

A Survey on Large Language Models for Software Engineering.
CoRR, 2023

Abstract Syntax Tree for Programming Language Understanding and Representation: How Far Are We?
CoRR, 2023

Machine Learning for Actionable Warning Identification: A Comprehensive Survey.
CoRR, 2023

A Critical Review of Large Language Model on Software Engineering: An Example from ChatGPT and Automated Program Repair.
CoRR, 2023

Automatic Code Summarization via ChatGPT: How Far Are We?
CoRR, 2023

Boosting Automated Patch Correctness Prediction via Pre-trained Language Model.
CoRR, 2023

Integrating Extractive and Abstractive Models for Code Comment Generation.
Proceedings of the 23rd IEEE International Conference on Software Quality, 2023

Abstract Syntax Tree for Method Name Prediction: How Far Are We?
Proceedings of the 23rd IEEE International Conference on Software Quality, 2023

Gamma: Revisiting Template-Based Automated Program Repair Via Mask Prediction.
Proceedings of the 38th IEEE/ACM International Conference on Automated Software Engineering, 2023

MuTCR: Test Case Recommendation via Multi-Level Signature Matching.
Proceedings of the IEEE/ACM International Conference on Automation of Software Test, 2023

Backdooring Neural Code Search.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Test case prioritization using partial attention.
J. Syst. Softw., 2022

Test case recommendation based on balanced distance of test targets.
Inf. Softw. Technol., 2022

Test Case Prioritization Using Partial Attention.
CoRR, 2022

An Extractive-and-Abstractive Framework for Source Code Summarization.
CoRR, 2022

Program Repair: Automated vs. Manual.
CoRR, 2022

RULER: discriminative and iterative adversarial training for deep neural network fairness.
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

ElecDaug: Electromagnetic Data Augmentation for Model Repair based on Metamorphic Relation.
Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

Code Search based on Context-aware Code Translation.
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

2020
Early Detection of Smart Ponzi Scheme Contracts Based on Behavior Forest Similarity.
Proceedings of the 20th IEEE International Conference on Software Quality, 2020

HomoTR: Online Test Recommendation System Based on Homologous Code Matching.
Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020

Generative Ranking based Sequential Recommendation in Software Crowdsourcing.
Proceedings of the EASE '20: Evaluation and Assessment in Software Engineering, 2020

2019
Software-Testing Contests: Observations and Lessons Learned.
Computer, 2019

Towards Generating Cost-Effective Test-Suite for Ethereum Smart Contract.
Proceedings of the 26th IEEE International Conference on Software Analysis, 2019

MAF: method-anchored test fragmentation for test code plagiarism detection.
Proceedings of the 41st International Conference on Software Engineering: Software Engineering Education and Training, 2019

2016
WB4SP: A tool to build the word base for specific programs.
Proceedings of the 24th IEEE International Conference on Program Comprehension, 2016


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