Amir M. Mir

According to our database, Amir M. Mir authored at least 12 papers between 2018 and 2024.

Collaborative distances:

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

2024

An Empirical Study of Large Language Models for Type and Call Graph Analysis.

Ashwin Prasad Shivarpatna Venkatesh, Rose Sunil, Samkutty Sabu, Amir M. Mir, Sofia Reis, Eric Bodden

CoRR, 2024

On the Effectiveness of Machine Learning-based Call Graph Pruning: An Empirical Study.

Amir M. Mir, Mehdi Keshani, Sebastian Proksch

Proceedings of the 21st IEEE/ACM International Conference on Mining Software Repositories, 2024

TypeEvalPy: A Micro-benchmarking Framework for Python Type Inference Tools.

Ashwin Prasad Shivarpatna Venkatesh, Samkutty Sabu, Jiawei Wang, Amir M. Mir, Li Li, Eric Bodden

Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings, 2024

The Emergence of Large Language Models in Static Analysis: A First Look through Micro-Benchmarks.

Ashwin Prasad Shivarpatna Venkatesh, Samkutty Sabu, Amir M. Mir, Sofia Reis, Eric Bodden

Proceedings of the 2024 IEEE/ACM First International Conference on AI Foundation Models and Software Engineering, 2024

2023

On the Effect of Transitivity and Granularity on Vulnerability Propagation in the Maven Ecosystem.

Amir M. Mir, Mehdi Keshani, Sebastian Proksch

Proceedings of the IEEE International Conference on Software Analysis, 2023

2022

Type4Py: Practical Deep Similarity Learning-Based Type Inference for Python.

Amir M. Mir, Evaldas Latoskinas, Sebastian Proksch, Georgios Gousios

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

2021

Type4Py: Deep Similarity Learning-Based Type Inference for Python.

Amir M. Mir, Evaldas Latoskinas, Sebastian Proksch, Georgios Gousios

CoRR, 2021

ManyTypes4Py: A Benchmark Python Dataset for Machine Learning-based Type Inference.

Amir M. Mir, Evaldas Latoskinas, Georgios Gousios

Proceedings of the 18th IEEE/ACM International Conference on Mining Software Repositories, 2021

2020

An enhanced KNN-based twin support vector machine with stable learning rules.

Jalal A. Nasiri, Amir M. Mir

Neural Comput. Appl., 2020

LIBTwinSVM: A Library for Twin Support Vector Machines.

Amir M. Mir, Mahdi Rahbar, Jalal A. Nasiri

CoRR, 2020

2019

LightTwinSVM: A Simple and Fast Implementation of Standard Twin Support Vector Machine Classifier.

Amir M. Mir, Jalal A. Nasiri

J. Open Source Softw., 2019

2018

KNN-based least squares twin support vector machine for pattern classification.

Amir M. Mir, Jalal A. Nasiri

Appl. Intell., 2018