Shangwen Wang

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 53

Top Topics

Neural Learning

Top Venues

ESEC/SIGSOFT FSE

Publications

Mingyang Geng, Shangwen Wang, Dezun Dong, Haotian Wang, Ge Li, Zhi Jin, Xiaoguang Mao, Xiangke Liao
Large Language Models are Few-Shot Summarizers: Multi-Intent Comment Generation via In-Context Learning. ICSE (2024)
Zhensu Sun, Xiaoning Du, Fu Song, Shangwen Wang, Li Li
When Neural Code Completion Models Size up the Situation: Attaining Cheaper and Faster Completion through Dynamic Model Inference. CoRR (2024)
Zhang Zhang, Xinjun Mao, Shangwen Wang, Kang Yang, Yao Lu
CAREER: Context-Aware API Recognition with Data Augmentation for API Knowledge Extraction. ICPC (2024)
Shangwen Wang, Mingyang Geng, Bo Lin, Zhensu Sun, Ming Wen, Yepang Liu, Li Li, Tegawendé F. Bissyandé, Xiaoguang Mao
Fusing Code Searchers. IEEE Trans. Software Eng. 50 (7) (2024)
Zhensu Sun, Xiaoning Du, Fu Song, Shangwen Wang, Li Li
When Neural Code Completion Models Size up the Situation: Attaining Cheaper and Faster Completion through Dynamic Model Inference. ICSE (2024)
Yihao Qin, Shangwen Wang, Yiling Lou, Jinhao Dong, Kaixin Wang, Xiaoling Li, Xiaoguang Mao
AgentFL: Scaling LLM-based Fault Localization to Project-Level Context. CoRR (2024)
Kang Yang, Xinjun Mao, Shangwen Wang, Tanghaoran Zhang, Bo Lin, Yanlin Wang, Yihao Qin, Zhang Zhang, Xiaoguang Mao
Enhancing Code Intelligence Tasks with ChatGPT. CoRR (2023)
Shangwen Wang, Bo Lin, Zhensu Sun, Ming Wen, Yepang Liu, Yan Lei, Xiaoguang Mao
Two Birds with One Stone: Boosting Code Generation and Code Search via a Generative Adversarial Network. Proc. ACM Program. Lang. 7 (OOPSLA2) (2023)
Ying Xiao, Shangwen Wang, Sicen Liu, Dingyuan Xue, Xian Zhan, Yepang Liu
FITNESS: A Causal De-correlation Approach for Mitigating Bias in Machine Learning Software. CoRR (2023)
Mingyang Geng, Shangwen Wang, Dezun Dong, Haotian Wang, Ge Li, Zhi Jin, Xiaoguang Mao, Xiangke Liao
An Empirical Study on Using Large Language Models for Multi-Intent Comment Generation. CoRR (2023)
Xiaohu Du, Ming Wen, Zichao Wei, Shangwen Wang, Hai Jin
An Extensive Study on Adversarial Attack against Pre-trained Models of Code. ESEC/SIGSOFT FSE (2023)
Kang Yang, Xinjun Mao, Shangwen Wang, Yihao Qin, Tanghaoran Zhang, Yao Lu, Kamal Al-Sabahi
An Extensive Study of the Structure Features in Transformer-based Code Semantic Summarization. ICPC (2023)
Bo Lin, Shangwen Wang, Zhongxin Liu, Xin Xia, Xiaoguang Mao
Predictive Comment Updating With Heuristics and AST-Path-Based Neural Learning: A Two-Phase Approach. IEEE Trans. Software Eng. 49 (4) (2023)
Shangwen Wang, Mingyang Geng, Bo Lin, Zhensu Sun, Ming Wen, Yepang Liu, Li Li, Tegawendé F. Bissyandé, Xiaoguang Mao
Natural Language to Code: How Far Are We? ESEC/SIGSOFT FSE (2023)
Xiaohu Du, Ming Wen, Zichao Wei, Shangwen Wang, Hai Jin
An Extensive Study on Adversarial Attack against Pre-trained Models of Code. CoRR (2023)
Mingyang Geng, Shangwen Wang, Dezun Dong, Haotian Wang, Shaomeng Cao, Kechi Zhang, Zhi Jin
Interpretation-based Code Summarization. ICPC (2023)
Shangwen Wang, Ming Wen, Bo Lin, Yepang Liu, Tegawendé F. Bissyandé, Xiaoguang Mao
Pre-implementation Method Name Prediction for Object-oriented Programming. ACM Trans. Softw. Eng. Methodol. 32 (6) (2023)
Zhensu Sun, Xiaoning Du, Fu Song, Shangwen Wang, Mingze Ni, Li Li
Don't Complete It! Preventing Unhelpful Code Completion for Productive and Sustainable Neural Code Completion Systems. ICSE Companion (2023)
Bo Lin, Shangwen Wang, Zhongxin Liu, Yepang Liu, Xin Xia, Xiaoguang Mao
CCT5: A Code-Change-Oriented Pre-trained Model. ESEC/SIGSOFT FSE (2023)
Bo Lin, Shangwen Wang, Zhongxin Liu, Yepang Liu, Xin Xia, Xiaoguang Mao
CCT5: A Code-Change-Oriented Pre-Trained Model. CoRR (2023)
Zhuo Zhang, Yan Lei, Meng Yan, Yue Yu, Jiachi Chen, Shangwen Wang, Xiaoguang Mao
Reentrancy Vulnerability Detection and Localization: A Deep Learning Based Two-phase Approach. ASE (2022)
Yihao Qin, Shangwen Wang, Kui Liu, Bo Lin, Hongjun Wu, Li Li, Xiaoguang Mao, Tegawendé F. Bissyandé
Peeler: Learning to Effectively Predict Flakiness without Running Tests. ICSME (2022)
Haoye Tian, Xunzhu Tang, Andrew Habib, Shangwen Wang, Kui Liu, Xin Xia, Jacques Klein, Tegawendé F. Bissyandé
Is this Change the Answer to that Problem?: Correlating Descriptions of Bug and Code Changes for Evaluating Patch Correctness. ASE (2022)
Bo Lin, Shangwen Wang, Ming Wen, Xiaoguang Mao
Context-Aware Code Change Embedding for Better Patch Correctness Assessment. ACM Trans. Softw. Eng. Methodol. 31 (3) (2022)
Menghan Wu, Yang Zhang, Jiakun Liu, Shangwen Wang, Zhang Zhang, Xin Xia, Xinjun Mao
On the Way to Microservices: Exploring Problems and Solutions from Online Q&A Community. SANER (2022)
Haoye Tian, Xunzhu Tang, Andrew Habib, Shangwen Wang, Kui Liu, Xin Xia, Jacques Klein, Tegawendé F. Bissyandé
Is this Change the Answer to that Problem? Correlating Descriptions of Bug and Code Changes for Evaluating Patch Correctness. CoRR (2022)
Yinyuan Zhang, Yang Zhang, Xinjun Mao, Yiwen Wu, Bo Lin, Shangwen Wang
Recommending Base Image for Docker Containers based on Deep Configuration Comprehension. SANER (2022)
Mingyang Geng, Shangwen Wang, Dezun Dong, Shanzhi Gu, Fang Peng, Weijian Ruan, Xiangke Liao
Fine-grained code-comment semantic interaction analysis. ICPC (2022)
Zhensu Sun, Xiaoning Du, Fu Song, Shangwen Wang, Mingze Ni, Li Li
Learning to Prevent Profitless Neural Code Completion. CoRR (2022)
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
A fine-grained data set and analysis of tangling in bug fixing commits. Empir. Softw. Eng. 27 (6) (2022)
Hongjun Wu, Zhuo Zhang, Shangwen Wang, Yan Lei, Bo Lin, Yihao Qin, Haoyu Zhang, Xiaoguang Mao
Peculiar: Smart Contract Vulnerability Detection Based on Crucial Data Flow Graph and Pre-training Techniques. ISSRE (2021)
Shangwen Wang, Ming Wen, Bo Lin, Xiaoguang Mao
Lightweight global and local contexts guided method name recommendation with prior knowledge. ESEC/SIGSOFT FSE (2021)
Shangwen Wang, Kui Liu, Bo Lin, Li Li, Jacques Klein, Xiaoguang Mao, Tegawendé F. Bissyandé
Beep: Fine-grained Fix Localization by Learning to Predict Buggy Code Elements. CoRR (2021)
Bo Lin, Shangwen Wang, Kui Liu, Xiaoguang Mao, Tegawendé F. Bissyandé
Automated Comment Update: How Far are We? ICPC (2021)
Yihao Qin, Shangwen Wang, Kui Liu, Xiaoguang Mao, Tegawendé F. Bissyandé
On the Impact of Flaky Tests in Automated Program Repair. SANER (2021)
Bo Lin, Shangwen Wang, Ming Wen, Zhang Zhang, Hongjun Wu, Yihao Qin, Xiaoguang Mao
Understanding the Non-Repairability Factors of Automated Program Repair Techniques. APSEC (2020)
Kui Liu, Shangwen Wang, Anil Koyuncu, Kisub Kim, Tegawendé F. Bissyandé, Dongsun Kim, Peng Wu, Jacques Klein, Xiaoguang Mao, Yves Le Traon
On the Efficiency of Test Suite based Program Repair: A Systematic Assessment of 16 Automated Repair Systems for Java Programs. CoRR (2020)
Zhang Zhang, Xinjun Mao, Yao Lu, Shangwen Wang, Jinyu Lu
An Empirical Study on the Influence of Social Interactions for the Acceptance of Answers in Stack Overflow. APSEC (2020)
Kui Liu, Shangwen Wang, Anil Koyuncu, Kisub Kim, Tegawendé F. Bissyandé, Dongsun Kim, Peng Wu, Jacques Klein, Xiaoguang Mao, Yves Le Traon
On the efficiency of test suite based program repair: A Systematic Assessment of 16 Automated Repair Systems for Java Programs. ICSE (2020)
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 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
Large-Scale Manual Validation of Bug Fixing Commits: A Fine-grained Analysis of Tangling. CoRR (2020)
Shangwen Wang, Ming Wen, Bo Lin, Hongjun Wu, Yihao Qin, Deqing Zou, Xiaoguang Mao, Hai Jin
Automated Patch Correctness Assessment: How Far are We? ASE (2020)
Shangwen Wang, Xiaoguang Mao, Nan Niu, Xin Yi, Anbang Guo
Multi-Location Program Repair Strategies Learned from Successful Experience (S). SEKE (2019)
Shangwen Wang, Xiaoguang Mao, Xin Yi
Dissection on Java Organs in GitHub Repositories. IEEE Access 7 (2019)
Shangwen Wang, Ming Wen, Liqian Chen, Xin Yi, Xiaoguang Mao
How Different Is It Between Machine-Generated and Developer-Provided Patches? An Empirical Study on The Correct Patches Generated by Automated Program Repair Techniques. CoRR (2019)
Shangwen Wang, Ming Wen, Xiaoguang Mao, Deheng Yang
Attention Please: Consider Mockito when Evaluating Newly Proposed Automated Program Repair Techniques. EASE (2019)
Shangwen Wang, Ming Wen, Liqian Chen, Xin Yi, Xiaoguang Mao
How Different Is It Between Machine-Generated and Developer-Provided Patches? : An Empirical Study on the Correct Patches Generated by Automated Program Repair Techniques. ESEM (2019)
Jiangtao Xue, Xinjun Mao, Yao Lu, Yue Yu, Shangwen Wang
History-Driven Fix for Code Quality Issues. IEEE Access 7 (2019)
Shangwen Wang, Xiaoguang Mao, Yue Yu
An Initial Step Towards Organ Transplantation Based on GitHub Repository. IEEE Access 6 (2018)
Shangwen Wang, Xiaoguang Mao, Yue Yu
An Initial Step Towards Organ Transplantation Based on GitHub Repository. CoRR (2018)
Shangwen Wang, Xiaoguang Mao, Nan Niu, Xin Yi, Anbang Guo
Multi-Location Program Repair: Roads Ahead. CoRR (2018)
Shangwen Wang, Tao Wang, Xiaoguang Mao, Gang Yin, Yue Yu
A Hybrid Approach for Tag Hierarchy Construction. ICSR (2018)
Anbang Guo, Xiaoguang Mao, Deheng Yang, Shangwen Wang
An Empirical Study on the Effect of Dynamic Slicing on Automated Program Repair Efficiency. ICSME (2018)
Shangwen Wang, Ming Wen, Deheng Yang, Xiaoguang Mao
Attention Please: Consider Mockito when Evaluating Newly Released Automated Program Repair Techniques. CoRR (2018)