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Nima Shiri Harzevili
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Year
Mixture of latent multinomial naive Bayes classifier
NS Harzevili, SH Alizadeh
Applied Soft Computing 69, 516-527, 2018
652018
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
462022
Analysis and modeling conditional mutual dependency of metrics in software defect prediction using latent variables
NS Harzevili, SH Alizadeh
Neurocomputing 460, 309-330, 2021
352021
Multi independent latent component extension of naive Bayes classifier
SH Alizadeh, A Hediehloo, NS Harzevili
Knowledge-based systems 213, 106646, 2021
272021
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
232023
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
15*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
122024
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
72022
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
22023
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
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Articles 1–19