Nima Shiri Harzevili

Orcid: 0000-0003-0484-3972

According to our database1, Nima Shiri Harzevili authored at least 23 papers between 2018 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2025
A Systematic Literature Review on Automated Software Vulnerability Detection Using Machine Learning.
ACM Comput. Surv., March, 2025

2024
Checker Bug Detection and Repair in Deep Learning Libraries.
CoRR, 2024

Demystifying and Detecting Misuses of Deep Learning APIs.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

Fairness Analysis of Machine Learning-Based Code Reviewer Recommendation.
Proceedings of the Advances in Bias and Fairness in Information Retrieval, 2024

Effectiveness of ChatGPT for Static Analysis: How Far Are We?
Proceedings of the 1st ACM International Conference on AI-Powered Software, 2024

2023
A Survey on Query-based API Recommendation.
CoRR, 2023

SkipAnalyzer: An Embodied Agent for Code Analysis with Large Language Models.
CoRR, 2023

Benchmarking Deep Learning Fuzzers.
CoRR, 2023

A First Look at Fairness of Machine Learning Based Code Reviewer Recommendation.
CoRR, 2023

Automatic Static Bug Detection for Machine Learning Libraries: Are We There Yet?
CoRR, 2023

Automatic Unit Test Generation for Deep Learning Frameworks based on API Knowledge.
CoRR, 2023

A Survey on Automated Software Vulnerability Detection Using Machine Learning and Deep Learning.
CoRR, 2023

Security Knowledge-Guided Fuzzing of Deep Learning Libraries.
CoRR, 2023

Characterizing and Understanding Software Security Vulnerabilities in Machine Learning Libraries.
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?
Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 2023

An Empirical Study on the Stability of Explainable Software Defect Prediction.
Proceedings of the 30th Asia-Pacific Software Engineering Conference, 2023

2022
Characterizing and Understanding Software Security Vulnerabilities in Machine Learning Libraries.
CoRR, 2022

API recommendation for machine learning libraries: how far are we?
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.
Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

2021
Multi independent latent component extension of naive Bayes classifier.
Knowl. Based Syst., 2021

Analysis and modeling conditional mutual dependency of metrics in software defect prediction using latent variables.
Neurocomputing, 2021

2020
Relaxing Pairwise Conditional Dependency of NB Attributes using Hidden Variables.
Proceedings of the 10th International Symposium on Telecommunications, 2020

2018
Mixture of latent multinomial naive Bayes classifier.
Appl. Soft Comput., 2018


  Loading...