| A survey of automatic code generation from natural language J Shin, J Nam Journal of Information Processing Systems 17 (3), 537-555, 2021 | 48 | 2021 |
| Prompt engineering or fine tuning: An empirical assessment of large language models in automated software engineering tasks J Shin, C Tang, T Mohati, M Nayebi, S Wang, H Hemmati 2025 IEEE/ACM 22th International Conference on Mining Software Repositories …, 2025 | 46 | 2025 |
| Domain Adaptation for Code Model-Based Unit Test Case Generation J Shin, S Hashtroudi, H Hemmati, S Wang Proceedings of the 33rd ACM SIGSOFT International Symposium on Software …, 2024 | 24* | 2024 |
| Characterizing and understanding software security vulnerabilities in machine learning libraries NS Harzevili, J Shin, J Wang, S Wang, N Nagappan 2023 IEEE/ACM 20th International Conference on Mining Software Repositories …, 2023 | 24 | 2023 |
| An Empirical Study on the Stability of Explainable Software Defect Prediction J Shin, R Aleithan, J Nam, J Wang, N Shiri Harzevili, S Wang 🏆 30th Asia-Pacific Software Engineering Conference (APSEC 2023), 2023 | 16* | 2023 |
| Assessing evaluation metrics for neural test oracle generation J Shin, H Hemmati, M Wei, S Wang IEEE Transactions on Software Engineering, 2024 | 8 | 2024 |
| Automatic Static Vulnerability Detection for Machine Learning Libraries: Are We There Yet? NS Harzevili, J Shin, J Wang, S Wang, N Nagappan 2023 IEEE 34th International Symposium on Software Reliability Engineering …, 2023 | 8* | 2023 |
| The Good, the Bad, and the Missing: Neural Code Generation for Machine Learning Tasks J Shin, M Wei, J Wang, L Shi, S Wang ACM Transactions on Software Engineering and Methodology (TOSEM'23) 33 (2), 24, 2023 | 7 | 2023 |
| API recommendation for machine learning libraries: how far are we? M Wei, Y Huang, J Wang, J Shin, NS Harzevili, S Wang Proceedings of the 30th ACM Joint European Software Engineering Conference …, 2022 | 7 | 2022 |
| Checker Bug Detection and Repair in Deep Learning Libraries NS Harzevili, MM Mohajer, J Shin, M Wei, G Uddin, J Yang, J Wang, ... arXiv preprint arXiv:2410.06440, 2024 | | 2024 |
| Retrieval-Augmented Test Generation: How Far Are We? J Shin, R Aleithan, H Hemmati, S Wang arXiv preprint arXiv:2409.12682, 2024 | | 2024 |
| Actionable Defect Prediction J Shin http://www.riss.kr/link?id=T15924485, 2021 | | 2021 |
| Similar Patch Recommendation for Actionable Defect Prediction J Shin, J Nam 🏆 Proceedings of the 22nd Korea Conference on Software Engineering (KCSE …, 2020 | | 2020 |
Song WangAssociate Professor at York University, CanadaBestätigte E-Mail-Adresse bei eecs.yorku.ca
