Shangwen Wang

According to our database, Shangwen Wang authored at least 48 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Fusing Code Searchers.

Shangwen Wang, Mingyang Geng, Bo Lin, Zhensu Sun, Ming Wen, Yepang Liu, Li Li, Tegawendé F. Bissyandé, Xiaoguang Mao

IEEE Trans. Software Eng., July, 2024

Identifying Knowledge Editing Types in Large Language Models.

Xiaopeng Li, Shangwen Wang, Shezheng Song, Bin Ji, Huijun Liu, Shasha Li, Jun Ma, Jie Yu

CoRR, 2024

AgentFL: Scaling LLM-based Fault Localization to Project-Level Context.

Yihao Qin, Shangwen Wang, Yiling Lou, Jinhao Dong, Kaixin Wang, Xiaoling Li, Xiaoguang Mao

CoRR, 2024

CAREER: Context-Aware API Recognition with Data Augmentation for API Knowledge Extraction.

Zhang Zhang, Xinjun Mao, Shangwen Wang, Kang Yang, Yao Lu

Proceedings of the 32nd IEEE/ACM International Conference on Program Comprehension, 2024

One Size Does Not Fit All: Multi-granularity Patch Generation for Better Automated Program Repair.

Bo Lin, Shangwen Wang, Ming Wen, Liqian Chen, Xiaoguang Mao

Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

When Neural Code Completion Models Size up the Situation: Attaining Cheaper and Faster Completion through Dynamic Model Inference.

Zhensu Sun, Xiaoning Du, Fu Song, Shangwen Wang, Li Li

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

Large Language Models are Few-Shot Summarizers: Multi-Intent Comment Generation via In-Context Learning.

Mingyang Geng, Shangwen Wang, Dezun Dong, Haotian Wang, Ge Li, Zhi Jin, Xiaoguang Mao, Xiangke Liao

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

2023

Pre-implementation Method Name Prediction for Object-oriented Programming.

Shangwen Wang, Ming Wen, Bo Lin, Yepang Liu, Tegawendé F. Bissyandé, Xiaoguang Mao

ACM Trans. Softw. Eng. Methodol., November, 2023

Two Birds with One Stone: Boosting Code Generation and Code Search via a Generative Adversarial Network.

Shangwen Wang, Bo Lin, Zhensu Sun, Ming Wen, Yepang Liu, Yan Lei, Xiaoguang Mao

Proc. ACM Program. Lang., October, 2023

Predictive Comment Updating With Heuristics and AST-Path-Based Neural Learning: A Two-Phase Approach.

Bo Lin, Shangwen Wang, Zhongxin Liu, Xin Xia, Xiaoguang Mao

IEEE Trans. Software Eng., April, 2023

Enhancing Code Intelligence Tasks with ChatGPT.

Kang Yang, Xinjun Mao, Shangwen Wang, Tanghaoran Zhang, Bo Lin, Yanlin Wang, Yihao Qin, Zhang Zhang, Xiaoguang Mao

CoRR, 2023

FITNESS: A Causal De-correlation Approach for Mitigating Bias in Machine Learning Software.

Ying Xiao, Shangwen Wang, Sicen Liu, Dingyuan Xue, Xian Zhan, Yepang Liu

CoRR, 2023

An Empirical Study on Using Large Language Models for Multi-Intent Comment Generation.

Mingyang Geng, Shangwen Wang, Dezun Dong, Haotian Wang, Ge Li, Zhi Jin, Xiaoguang Mao, Xiangke Liao

CoRR, 2023

Natural Language to Code: How Far Are We?

Shangwen Wang, Mingyang Geng, Bo Lin, Zhensu Sun, Ming Wen, Yepang Liu, Li Li, Tegawendé F. Bissyandé, Xiaoguang Mao

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

CCT5: A Code-Change-Oriented Pre-trained Model.

Bo Lin, Shangwen Wang, Zhongxin Liu, Yepang Liu, Xin Xia, Xiaoguang Mao

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

An Extensive Study on Adversarial Attack against Pre-trained Models of Code.

Xiaohu Du, Ming Wen, Zichao Wei, Shangwen Wang, Hai Jin

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

An Extensive Study of the Structure Features in Transformer-based Code Semantic Summarization.

Kang Yang, Xinjun Mao, Shangwen Wang, Yihao Qin, Tanghaoran Zhang, Yao Lu, Kamal Al-Sabahi

Proceedings of the 31st IEEE/ACM International Conference on Program Comprehension, 2023

Interpretation-based Code Summarization.

Mingyang Geng, Shangwen Wang, Dezun Dong, Haotian Wang, Shaomeng Cao, Kechi Zhang, Zhi Jin

Proceedings of the 31st IEEE/ACM International Conference on Program Comprehension, 2023

Don't Complete It! Preventing Unhelpful Code Completion for Productive and Sustainable Neural Code Completion Systems.

Zhensu Sun, Xiaoning Du, Fu Song, Shangwen Wang, Mingze Ni, Li Li

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: ICSE 2023 Companion Proceedings, 2023

2022

Context-Aware Code Change Embedding for Better Patch Correctness Assessment.

Bo Lin, Shangwen Wang, Ming Wen, Xiaoguang Mao

ACM Trans. Softw. Eng. Methodol., 2022

A fine-grained data set and analysis of tangling in bug fixing commits.

Steffen Herbold, Alexander Trautsch, Benjamin Ledel, Alireza Aghamohammadi, Taher Ahmed Ghaleb, Kuljit Kaur Chahal, Tim Bossenmaier, Bhaveet Nagaria, Philip Makedonski, Matin Nili Ahmadabadi, Kristof Szabados, Helge Spieker, Matej Madeja, Nathaniel Hoy, Valentina Lenarduzzi, Shangwen Wang, Gema Rodríguez-Pérez, Ricardo Colomo Palacios, Roberto Verdecchia, Paramvir Singh, Yihao Qin, Debasish Chakroborti, Willard Davis, Vijay Walunj, Hongjun Wu, Diego Marcilio, Omar Alam, Abdullah Aldaeej, Idan Amit, Burak Turhan, Simon Eismann, Anna-Katharina Wickert, Ivano Malavolta, Matús Sulír, Fatemeh H. Fard, Austin Z. Henley, Stratos Kourtzanidis, Eray Tuzun, Christoph Treude, Simin Maleki Shamasbi, Ivan Pashchenko, Marvin Wyrich, James Davis, Alexander Serebrenik, Ella Albrecht, Ethem Utku Aktas, Daniel Strüber, Johannes Erbel

Empir. Softw. Eng., 2022

Learning to Prevent Profitless Neural Code Completion.

Zhensu Sun, Xiaoning Du, Fu Song, Shangwen Wang, Mingze Ni, Li Li

CoRR, 2022

Recommending Base Image for Docker Containers based on Deep Configuration Comprehension.

Yinyuan Zhang, Yang Zhang, Xinjun Mao, Yiwen Wu, Bo Lin, Shangwen Wang

Proceedings of the IEEE International Conference on Software Analysis, 2022

On the Way to Microservices: Exploring Problems and Solutions from Online Q&A Community.

Menghan Wu, Yang Zhang, Jiakun Liu, Shangwen Wang, Zhang Zhang, Xin Xia, Xinjun Mao

Proceedings of the IEEE International Conference on Software Analysis, 2022

Is this Change the Answer to that Problem?: Correlating Descriptions of Bug and Code Changes for Evaluating Patch Correctness.

Haoye Tian, Xunzhu Tang, Andrew Habib, Shangwen Wang, Kui Liu, Xin Xia, Jacques Klein, Tegawendé F. Bissyandé

Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

Reentrancy Vulnerability Detection and Localization: A Deep Learning Based Two-phase Approach.

Zhuo Zhang, Yan Lei, Meng Yan, Yue Yu, Jiachi Chen, Shangwen Wang, Xiaoguang Mao

Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

Fine-grained code-comment semantic interaction analysis.

Mingyang Geng, Shangwen Wang, Dezun Dong, Shanzhi Gu, Fang Peng, Weijian Ruan, Xiangke Liao

Proceedings of the 30th IEEE/ACM International Conference on Program Comprehension, 2022

Peeler: Learning to Effectively Predict Flakiness without Running Tests.

Yihao Qin, Shangwen Wang, Kui Liu, Bo Lin, Hongjun Wu, Li Li, Xiaoguang Mao, Tegawendé F. Bissyandé

Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2022

2021

Beep: Fine-grained Fix Localization by Learning to Predict Buggy Code Elements.

Shangwen Wang, Kui Liu, Bo Lin, Li Li, Jacques Klein, Xiaoguang Mao, Tegawendé F. Bissyandé

CoRR, 2021

On the Impact of Flaky Tests in Automated Program Repair.

Yihao Qin, Shangwen Wang, Kui Liu, Xiaoguang Mao, Tegawendé F. Bissyandé

Proceedings of the 28th IEEE International Conference on Software Analysis, 2021

Lightweight global and local contexts guided method name recommendation with prior knowledge.

Shangwen Wang, Ming Wen, Bo Lin, Xiaoguang Mao

Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

Automated Comment Update: How Far are We?

Bo Lin, Shangwen Wang, Kui Liu, Xiaoguang Mao, Tegawendé F. Bissyandé

Proceedings of the 29th IEEE/ACM International Conference on Program Comprehension, 2021

Peculiar: Smart Contract Vulnerability Detection Based on Crucial Data Flow Graph and Pre-training Techniques.

Hongjun Wu, Zhuo Zhang, Shangwen Wang, Yan Lei, Bo Lin, Yihao Qin, Haoyu Zhang, Xiaoguang Mao

Proceedings of the 32nd IEEE International Symposium on Software Reliability Engineering, 2021

2020

Large-Scale Manual Validation of Bug Fixing Commits: A Fine-grained Analysis of Tangling.

Steffen Herbold, Alexander Trautsch, Benjamin Ledel, Alireza Aghamohammadi, Taher Ahmed Ghaleb, Kuljit Kaur Chahal, Tim Bossenmaier, Bhaveet Nagaria, Philip Makedonski, Matin Nili Ahmadabadi, Kristóf Szabados, Helge Spieker, Matej Madeja, Nathaniel Hoy, Valentina Lenarduzzi, Shangwen Wang, Gema Rodríguez-Pérez, Ricardo Colomo Palacios, Roberto Verdecchia, Paramvir Singh, Yihao Qin, Debasish Chakroborti, Willard Davis, Vijay Walunj, Hongjun Wu, Diego Marcilio, Omar Alam, Abdullah Aldaeej, Idan Amit, Burak Turhan, Simon Eismann, Anna-Katharina Wickert, Ivano Malavolta, Matús Sulír, Fatemeh H. Fard, Austin Z. Henley, Stratos Kourtzanidis, Eray Tuzun, Christoph Treude, Simin Maleki Shamasbi, Ivan Pashchenko, Marvin Wyrich, James Davis, Alexander Serebrenik, Ella Albrecht, Ethem Utku Aktas, Daniel Strüber, Johannes Erbel

CoRR, 2020

Automated Patch Correctness Assessment: How Far are We?

Shangwen Wang, Ming Wen, Bo Lin, Hongjun Wu, Yihao Qin, Deqing Zou, Xiaoguang Mao, Hai Jin

Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020

On the efficiency of test suite based program repair: A Systematic Assessment of 16 Automated Repair Systems for Java Programs.

Kui Liu, Shangwen Wang, Anil Koyuncu, Kisub Kim, Tegawendé F. Bissyandé, Dongsun Kim, Peng Wu, Jacques Klein, Xiaoguang Mao, Yves Le Traon

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June, 2020

An Empirical Study on the Influence of Social Interactions for the Acceptance of Answers in Stack Overflow.

Zhang Zhang, Xinjun Mao, Yao Lu, Shangwen Wang, Jinyu Lu

Proceedings of the 27th Asia-Pacific Software Engineering Conference, 2020

Understanding the Non-Repairability Factors of Automated Program Repair Techniques.

Bo Lin, Shangwen Wang, Ming Wen, Zhang Zhang, Hongjun Wu, Yihao Qin, Xiaoguang Mao

Proceedings of the 27th Asia-Pacific Software Engineering Conference, 2020

2019

History-Driven Fix for Code Quality Issues.

Jiangtao Xue, Xinjun Mao, Yao Lu, Yue Yu, Shangwen Wang

IEEE Access, 2019

Dissection on Java Organs in GitHub Repositories.

Shangwen Wang, Xiaoguang Mao, Xin Yi

IEEE Access, 2019

Multi-Location Program Repair Strategies Learned from Successful Experience (S).

Shangwen Wang, Xiaoguang Mao, Nan Niu, Xin Yi, Anbang Guo

Proceedings of the 31st International Conference on Software Engineering and Knowledge Engineering, 2019

How Different Is It Between Machine-Generated and Developer-Provided Patches? : An Empirical Study on the Correct Patches Generated by Automated Program Repair Techniques.

Shangwen Wang, Ming Wen, Liqian Chen, Xin Yi, Xiaoguang Mao

Proceedings of the 2019 ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, 2019

Attention Please: Consider Mockito when Evaluating Newly Proposed Automated Program Repair Techniques.

Shangwen Wang, Ming Wen, Xiaoguang Mao, Deheng Yang

Proceedings of the Evaluation and Assessment on Software Engineering, 2019

2018

Attention Please: Consider Mockito when Evaluating Newly Released Automated Program Repair Techniques.

Shangwen Wang, Ming Wen, Deheng Yang, Xiaoguang Mao

CoRR, 2018

Multi-Location Program Repair: Roads Ahead.

Shangwen Wang, Xiaoguang Mao, Nan Niu, Xin Yi, Anbang Guo

CoRR, 2018

An Initial Step Towards Organ Transplantation Based on GitHub Repository.

Shangwen Wang, Xiaoguang Mao, Yue Yu

IEEE Access, 2018

A Hybrid Approach for Tag Hierarchy Construction.

Shangwen Wang, Tao Wang, Xiaoguang Mao, Gang Yin, Yue Yu

Proceedings of the New Opportunities for Software Reuse - 17th International Conference, 2018

An Empirical Study on the Effect of Dynamic Slicing on Automated Program Repair Efficiency.

Anbang Guo, Xiaoguang Mao, Deheng Yang, Shangwen Wang

Proceedings of the 2018 IEEE International Conference on Software Maintenance and Evolution, 2018