Suivre
Shangwen Wang
Shangwen Wang
National University of Defense Technology
Adresse e-mail validée de nudt.edu.cn - Page d'accueil
Titre
Citée par
Citée par
Année
On the efficiency of test suite based program repair: A systematic assessment of 16 automated repair systems for java programs
K Liu, S Wang, A Koyuncu, K Kim, TF Bissyandé, D Kim, P Wu, J Klein, ...
Proceedings of the ACM/IEEE 42nd International Conference on Software …, 2020
1632020
Automated patch correctness assessment: How far are we?
S Wang, M Wen, B Lin, H Wu, Y Qin, D Zou, X Mao, H Jin
Proceedings of the 35th IEEE/ACM International Conference on Automated …, 2020
1202020
Peculiar: Smart contract vulnerability detection based on crucial data flow graph and pre-training techniques
H Wu, Z Zhang, S Wang, Y Lei, B Lin, Y Qin, H Zhang, X Mao
2021 IEEE 32nd International Symposium on Software Reliability Engineering …, 2021
902021
Context-aware code change embedding for better patch correctness assessment
B Lin, S Wang, M Wen, X Mao
ACM Transactions on Software Engineering and Methodology (TOSEM) 31 (3), 1-29, 2022
562022
How different is it between machine-generated and developer-provided patches?: An empirical study on the correct patches generated by automated program repair techniques
S Wang, M Wen, L Chen, X Yi, X Mao
2019 ACM/IEEE International Symposium on Empirical Software Engineering and …, 2019
452019
Large language models are few-shot summarizers: Multi-intent comment generation via in-context learning
M Geng, S Wang, D Dong, H Wang, G Li, Z Jin, X Mao, X Liao
Proceedings of the 46th IEEE/ACM International Conference on Software …, 2024
442024
A fine-grained data set and analysis of tangling in bug fixing commits
S Herbold, A Trautsch, B Ledel, A Aghamohammadi, TA Ghaleb, ...
Empirical Software Engineering 27 (6), 125, 2022
412022
Reentrancy vulnerability detection and localization: A deep learning based two-phase approach
Z Zhang, Y Lei, M Yan, Y Yu, J Chen, S Wang, X Mao
Proceedings of the 37th IEEE/ACM International Conference on Automated …, 2022
352022
Lightweight global and local contexts guided method name recommendation with prior knowledge
S Wang, M Wen, B Lin, X Mao
Proceedings of the 29th ACM Joint Meeting on European Software Engineering …, 2021
282021
Automated comment update: How far are we?
B Lin, S Wang, K Liu, X Mao, TF Bissyandé
2021 IEEE/ACM 29th International Conference on Program Comprehension (ICPC …, 2021
282021
On the impact of flaky tests in automated program repair
Y Qin, S Wang, K Liu, X Mao, TF Bissyandé
2021 IEEE International Conference on Software Analysis, Evolution and …, 2021
232021
Is this change the answer to that problem? correlating descriptions of bug and code changes for evaluating patch correctness
H Tian, X Tang, A Habib, S Wang, K Liu, X Xia, J Klein, TF Bissyandé
Proceedings of the 37th IEEE/ACM International Conference on Automated …, 2022
212022
Cct5: A code-change-oriented pre-trained model
B Lin, S Wang, Z Liu, Y Liu, X Xia, X Mao
Proceedings of the 31st ACM Joint European Software Engineering Conference …, 2023
202023
On the way to microservices: Exploring problems and solutions from online q&a community
M Wu, Y Zhang, J Liu, S Wang, Z Zhang, X Xia, X Mao
2022 IEEE International Conference on Software Analysis, Evolution and …, 2022
192022
Attention please: Consider Mockito when evaluating newly proposed automated program repair techniques
S Wang, M Wen, X Mao, D Yang
Proceedings of the 23rd International Conference on Evaluation and …, 2019
192019
An empirical study on the effect of dynamic slicing on automated program repair efficiency
A Guo, X Mao, D Yang, S Wang
2018 IEEE International Conference on Software Maintenance and Evolution …, 2018
182018
Predictive comment updating with heuristics and ast-path-based neural learning: A two-phase approach
B Lin, S Wang, Z Liu, X Xia, X Mao
IEEE Transactions on Software Engineering 49 (4), 1640-1660, 2022
162022
Don't Complete It! Preventing Unhelpful Code Completion for Productive and Sustainable Neural Code Completion Systems
Z Sun, X Du, F Song, S Wang, M Ni, L Li
2023 IEEE/ACM 45th International Conference on Software Engineering …, 2023
132023
Large Language Models are Few-Shot Summarizers: Multi-Intent Comment Generation via In-Context Learning.(2024)
M Geng, S Wang, D Dong, H Wang, G Li, Z Jin, X Mao, X Liao
122024
History-driven fix for code quality issues
J Xue, X Mao, Y Lu, Y Yu, S Wang
IEEE Access 7, 111637-111648, 2019
122019
Le système ne peut pas réaliser cette opération maintenant. Veuillez réessayer plus tard.
Articles 1–20