Nima Shiri Harzevili

According to our database, Nima Shiri Harzevili authored at least 18 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

A Survey on Query-based API Recommendation.

Moshi Wei, Nima Shiri Harzevili, Alvine Boaye Belle, Junjie Wang, Lin Shi, Jinqiu Yang, Song Wang, Zhen Ming Jiang

CoRR, 2023

SkipAnalyzer: An Embodied Agent for Code Analysis with Large Language Models.

Mohammad Mahdi Mohajer, Reem Aleithan, Nima Shiri Harzevili, Moshi Wei, Alvine Boaye Belle, Hung Viet Pham, Song Wang

CoRR, 2023

Benchmarking Deep Learning Fuzzers.

Nima Shiri Harzevili, Hung Viet Pham, Song Wang

CoRR, 2023

A First Look at Fairness of Machine Learning Based Code Reviewer Recommendation.

Mohammad Mahdi Mohajer, Alvine Boaye Belle, Nima Shiri Harzevili, Junjie Wang, Hadi Hemmati, Song Wang, Zhen Ming Jiang

CoRR, 2023

Automatic Static Bug Detection for Machine Learning Libraries: Are We There Yet?

Nima Shiri Harzevili, Jiho Shin, Junjie Wang, Song Wang, Nachiappan Nagappan

CoRR, 2023

Automatic Unit Test Generation for Deep Learning Frameworks based on API Knowledge.

Arunkaleeshwaran Narayanan, Nima Shiri Harzevili, Junjie Wang, Lin Shi, Moshi Wei, Song Wang

CoRR, 2023

A Survey on Automated Software Vulnerability Detection Using Machine Learning and Deep Learning.

Nima Shiri Harzevili, Alvine Boaye Belle, Junjie Wang, Song Wang, Zhen Ming Jiang, Nachiappan Nagappan

CoRR, 2023

Security Knowledge-Guided Fuzzing of Deep Learning Libraries.

Nima Shiri Harzevili, Hung Viet Pham, Song Wang

CoRR, 2023

Characterizing and Understanding Software Security Vulnerabilities in Machine Learning Libraries.

Nima Shiri Harzevili, Jiho Shin, Junjie Wang, Song Wang, Nachiappan Nagappan

Proceedings of the 20th IEEE/ACM International Conference on Mining Software Repositories, 2023

Automatic Static Vulnerability Detection for Machine Learning Libraries: Are We There Yet?

Nima Shiri Harzevili, Jiho Shin, Junjie Wang, Song Wang, Nachiappan Nagappan

Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 2023

An Empirical Study on the Stability of Explainable Software Defect Prediction.

Jiho Shin, Reem Aleithan, Jaechang Nam, Junjie Wang, Nima Shiri Harzevili, Song Wang

Proceedings of the 30th Asia-Pacific Software Engineering Conference, 2023

2022

Characterizing and Understanding Software Security Vulnerabilities in Machine Learning Libraries.

Nima Shiri Harzevili, Jiho Shin, Junjie Wang, Song Wang

CoRR, 2022

API recommendation for machine learning libraries: how far are we?

Moshi Wei, Yuchao Huang, Junjie Wang, Jiho Shin, Nima Shiri Harzevili, Song Wang

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

CLEAR: Contrastive Learning for API Recommendation.

Moshi Wei, Nima Shiri Harzevili, Yuchao Huang, Junjie Wang, Song Wang

Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

2021

Multi independent latent component extension of naive Bayes classifier.

Sasan Hossein Alizadeh, Alireza Hediehloo, Nima Shiri Harzevili

Knowl. Based Syst., 2021

Analysis and modeling conditional mutual dependency of metrics in software defect prediction using latent variables.

Nima Shiri Harzevili, Sasan Hossein Alizadeh

Neurocomputing, 2021

2020

Relaxing Pairwise Conditional Dependency of NB Attributes using Hidden Variables.

Sasan Hossein Alizadeh, Nima Shiri Harzevili, Alireza Hediehloo, Hadi Zare

Proceedings of the 10th International Symposium on Telecommunications, 2020

2018

Mixture of latent multinomial naive Bayes classifier.

Nima Shiri Harzevili, Sasan Hossein Alizadeh

Appl. Soft Comput., 2018