| Mixture of latent multinomial naive Bayes classifier NS Harzevili, SH Alizadeh Applied Soft Computing 69, 516-527, 2018 | 65 | 2018 |
| CLEAR: contrastive learning for API recommendation M Wei, NS Harzevili, Y Huang, J Wang, S Wang Proceedings of the 44th International Conference on Software Engineering …, 2022 | 46 | 2022 |
| Analysis and modeling conditional mutual dependency of metrics in software defect prediction using latent variables NS Harzevili, SH Alizadeh Neurocomputing 460, 309-330, 2021 | 35 | 2021 |
| Multi independent latent component extension of naive Bayes classifier SH Alizadeh, A Hediehloo, NS Harzevili Knowledge-based systems 213, 106646, 2021 | 26 | 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 | 22 | 2023 |
| Effectiveness of ChatGPT for Static Analysis: How Far Are We? MM Mohajer, R Aleithan, NS Harzevili, M Wei, AB Belle, HV Pham, ... Proceedings of the 1st ACM International Conference on AI-Powered Software …, 2024 | 14* | 2024 |
| A Systematic Literature Review on Automated Software Vulnerability Detection Using Machine Learning N Shiri Harzevili, A Boaye Belle, J Wang, S Wang, ZM Jiang, N Nagappan ACM Computing Surveys 57 (3), 1-36, 2024 | 13* | 2024 |
| Demystifying and Detecting Misuses of Deep Learning APIs M Wei, NS Harzevili, YK Huang, J Yang, J Wang, S Wang Proceedings of the IEEE/ACM 46th International Conference on Software …, 2024 | 11 | 2024 |
| 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 |
| 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 | 6* | 2023 |
| An Empirical Study on the Stability of Explainable Software Defect Prediction J Shin, R Aleithan, J Nam, J Wang, NS Harzevili, S Wang 2023 30th Asia-Pacific Software Engineering Conference (APSEC), 141-150, 2023 | 2 | 2023 |
| History-Driven Fuzzing For Deep Learning Libraries N Shiri Harzevili, MM Mohajer, M Wei, HV Pham, S Wang ACM Transactions on Software Engineering and Methodology, 2024 | 1* | 2024 |
| 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 |
| A Survey on Query-based API Recommendation M Wei, NS Harzevili, AB Belle, J Wang, L Shi, J Yang, S Wang, M Zhen arXiv preprint arXiv:2312.10623, 2023 | | 2023 |
| Benchmarking Deep Learning Fuzzers NS Harzevili, HV Pham, S Wang arXiv preprint arXiv:2310.06912, 2023 | | 2023 |
| A First Look at Fairness of Machine Learning Based Code Reviewer Recommendation MM Mohajer, AB Belle, J Wang, H Hemmati, S Wang, Z Ming arXiv preprint arXiv:2307.11298, 2023 | | 2023 |
| Automatic Unit Test Generation for Deep Learning Frameworks based on API Knowledge A Narayanan, J Wang, L Shi, M Wei, S Wang arXiv preprint arXiv:2307.00404, 2023 | | 2023 |
| Relaxing Pairwise Conditional Dependency of NB Attributes using Hidden Variables SH Alizadeh, NS Harzevili, A Hediehloo, H Zare 2020 10th International Symposium onTelecommunications (IST), 116-122, 2020 | | 2020 |
| History-Driven Fuzzing For Deep Learning Libraries NS HARZEVILI, MM MOHAJER, M WEI, HV PHAM, S WANG | | 2018 |
Song WangAssociate Professor at York University, CanadaVerified email at eecs.yorku.ca