Jiho Shin
Jiho Shin
Ph.D. student, York University
Verified email at - Homepage
Cited by
Cited by
A survey of automatic code generation from natural language
J Shin, J Nam
Journal of Information Processing Systems 17 (3), 537-555, 2021
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
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
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
arXiv preprint arXiv:2310.10508, 2023
Domain Adaptation for Deep Unit Test Case Generation
J Shin, S Hashtroudi, H Hemmati, S Wang
arXiv e-prints, arXiv: 2308.08033, 2023
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
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
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
Assessing Evaluation Metrics for Neural Test Oracle Generation
J Shin, H Hemmati, M Wei, S Wang
arXiv preprint arXiv:2310.07856, 2023
Actionable Defect Prediction
J Shin, 2021
Similar Patch Recommendation for Actionable Defect Prediction
J Shin, J Nam
Proceedings of the 22nd Korea Conference on Software Engineering (KCSE 2020 …, 2020
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