| Layout and Image Recognition Driving Cross-Platform Automated Mobile Testing S Yu, C Fang, Y Yun, Y Feng 2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE …, 2021 | 35* | 2021 |
| LIRAT: Layout and image recognition driving automated mobile testing of cross-platform S Yu, C Fang, Y Feng, W Zhao, Z Chen 2019 34th IEEE/ACM International Conference on Automated Software …, 2019 | 30 | 2019 |
| Prioritize crowdsourced test reports via deep screenshot understanding S Yu, C Fang, Z Cao, X Wang, T Li, Z Chen 2021 IEEE/ACM 43rd International Conference on Software Engineering (ICSE …, 2021 | 26 | 2021 |
| Llm for test script generation and migration: Challenges, capabilities, and opportunities S Yu, C Fang, Y Ling, C Wu, Z Chen 2023 IEEE 23rd International Conference on Software Quality, Reliability …, 2023 | 21 | 2023 |
| A survey on large language models for software engineering Q Zhang, C Fang, Y Xie, Y Zhang, Y Yang, W Sun, S Yu, Z Chen arXiv preprint arXiv:2312.15223, 2023 | 17 | 2023 |
| Crowdsourced report generation via bug screenshot understanding S Yu 2019 34th IEEE/ACM International Conference on Automated Software …, 2019 | 16 | 2019 |
| From data quality to model quality: An exploratory study on deep learning T He, S Yu, Z Wang, J Li, Z Chen Proceedings of the 11th Asia-Pacific Symposium on Internetware, 1-6, 2019 | 15 | 2019 |
| Unirltest: universal platform-independent testing with reinforcement learning via image understanding Z Zhang, Y Liu, S Yu, X Li, Y Yun, C Fang, Z Chen Proceedings of the 31st ACM SIGSOFT International Symposium on Software …, 2022 | 14 | 2022 |
| SemCluster: a semi-supervised clustering tool for crowdsourced test reports with deep image understanding M Du, S Yu, C Fang, T Li, H Zhang, Z Chen Proceedings of the 30th ACM Joint European Software Engineering Conference …, 2022 | 8 | 2022 |
| Mobile app crowdsourced test report consistency detection via deep image-and-text fusion understanding S Yu, C Fang, Q Zhang, Z Cao, Y Yun, Z Cao, K Mei, Z Chen IEEE Transactions on Software Engineering 49 (8), 4115-4134, 2023 | 7 | 2023 |
| Leveraging android automated testing to assist crowdsourced testing X Ge, S Yu, C Fang, Q Zhu, Z Zhao IEEE Transactions on Software Engineering 49 (4), 2318-2336, 2022 | 7 | 2022 |
| Test case prioritization using partial attention Q Zhang, C Fang, W Sun, S Yu, Y Xu, Y Liu Journal of Systems and Software 192, 111419, 2022 | 6 | 2022 |
| STIFA: Crowdsourced mobile testing report selection based on text and image fusion analysis Z Cao, X Wang, S Yu, Y Yun, C Fang Proceedings of the 35th IEEE/ACM International Conference on Automated …, 2020 | 5 | 2020 |
| Detecting crowdsourced test report consistency for mobile apps with deep image understanding and text analysis S Yu, C Fang, Y Yun, Z Cao, K Mei, Z Cao, Z Chen arXiv preprint arXiv:2108.07401, 2021 | 4 | 2021 |
| Test report generation for android app testing via heterogeneous data analysis C Fang, S Yu, T Su, J Zhang, Y Tian, Y Liu IEEE Transactions on Software Engineering 49 (5), 3032-3051, 2023 | 3 | 2023 |
| Universally Adaptive Cross-Platform Reinforcement Learning Testing via GUI Image Understanding S Yu, C Fang, Y Liu, Z Zhang, Y Yun, X Li, Z Chen arXiv preprint arXiv:2208.09116, 2022 | 3 | 2022 |
| Automated mobile app test script intent generation via image and code understanding S Yu, C Fang, T Li, M Du, X Li, J Zhang, Y Yun, X Wang, Z Chen arXiv preprint arXiv:2107.05165, 2021 | 3 | 2021 |
| Furong: fusing report of automated android testing on multi-devices Y Tian, S Yu, C Fang, P Li Proceedings of the ACM/IEEE 42nd International Conference on Software …, 2020 | 3 | 2020 |
| An exploratory study on judicial image quality assessment based on deep learning Q Gu, W Cai, S Yu, Z Chen 2019 IEEE 19th International Conference on Software Quality, Reliability and …, 2019 | 3 | 2019 |
| Automatic bug inference via deep image understanding S Yu, W Huang, J Zhang, H Zheng 2022 9th International Conference on Dependable Systems and Their …, 2022 | 2 | 2022 |
Chunrong FangSoftware Institute, Nanjing University在 nju.edu.cn 的电子邮件经过验证
