Amir M. Mir

20 papers A* 1A 3Journal 14Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
An empirical study of large language models for type and call graph analysis in Python and JavaScript.
Empir. Softw. Eng.
Ashwin Prasad Shivarpatna Venkatesh, Rose Sunil, Samkutty Sabu, Amir M. Mir, Sofia Reis, Eric Bodden
2024 J jnl
An Empirical Study of Large Language Models for Type and Call Graph Analysis.
CoRR
Ashwin Prasad Shivarpatna Venkatesh, Rose Sunil, Samkutty Sabu, Amir M. Mir, Sofia Reis, Eric Bodden
2024 A conf
On the Effectiveness of Machine Learning-based Call Graph Pruning: An Empirical Study.
MSR
Amir M. Mir, Mehdi Keshani, Sebastian Proksch
2024 J jnl
On the Effectiveness of Machine Learning-based Call Graph Pruning: An Empirical Study.
CoRR
Amir M. Mir, Mehdi Keshani, Sebastian Proksch
2024 J jnl
OriginPruner: Leveraging Method Origins for Guided Call Graph Pruning.
CoRR
Amir M. Mir, Mehdi Keshani, Sebastian Proksch
2024 — conf
The Emergence of Large Language Models in Static Analysis: A First Look through Micro-Benchmarks.
FORGE
Ashwin Prasad Shivarpatna Venkatesh, Samkutty Sabu, Amir M. Mir, Sofia Reis, Eric Bodden
2024 J jnl
The Emergence of Large Language Models in Static Analysis: A First Look through Micro-Benchmarks.
CoRR
Ashwin Prasad Shivarpatna Venkatesh, Samkutty Sabu, Amir M. Mir, Sofia Reis, Eric Bodden
2024 — conf
TypeEvalPy: A Micro-benchmarking Framework for Python Type Inference Tools.
ICSE Companion
Ashwin Prasad Shivarpatna Venkatesh, Samkutty Sabu, Jiawei Wang, Amir M. Mir, Li Li, Eric Bodden
2023 A conf
On the Effect of Transitivity and Granularity on Vulnerability Propagation in the Maven Ecosystem.
SANER
Amir M. Mir, Mehdi Keshani, Sebastian Proksch
2023 J jnl
On the Effect of Transitivity and Granularity on Vulnerability Propagation in the Maven Ecosystem.
CoRR
Amir M. Mir, Mehdi Keshani, Sebastian Proksch
2023 J jnl
TypeEvalPy: A Micro-benchmarking Framework for Python Type Inference Tools.
CoRR
Ashwin Prasad Shivarpatna Venkatesh, Samkutty Sabu, Jiawei Wang, Amir M. Mir, Li Li, Eric Bodden
2022 A* conf
Type4Py: Practical Deep Similarity Learning-Based Type Inference for Python.
ICSE
Amir M. Mir, Evaldas Latoskinas, Sebastian Proksch, Georgios Gousios
2021 A conf
ManyTypes4Py: A Benchmark Python Dataset for Machine Learning-based Type Inference.
MSR
Amir M. Mir, Evaldas Latoskinas, Georgios Gousios
2021 J jnl
ManyTypes4Py: A Benchmark Python Dataset for Machine Learning-based Type Inference.
CoRR
Amir M. Mir, Evaldas Latoskinas, Georgios Gousios
2021 J jnl
Type4Py: Deep Similarity Learning-Based Type Inference for Python.
CoRR
Amir M. Mir, Evaldas Latoskinas, Sebastian Proksch, Georgios Gousios
2020 J jnl
An enhanced KNN-based twin support vector machine with stable learning rules.
Neural Comput. Appl.
Jalal A. Nasiri, Amir M. Mir
2020 J jnl
LIBTwinSVM: A Library for Twin Support Vector Machines.
CoRR
Amir M. Mir, Mahdi Rahbar, Jalal A. Nasiri
2019 J jnl
An enhanced KNN-based twin support vector machine with stable learning rules.
CoRR
Amir M. Mir, Jalal A. Nasiri
2019 J jnl
LightTwinSVM: A Simple and Fast Implementation of Standard Twin Support Vector Machine Classifier.
J. Open Source Softw.
Amir M. Mir, Jalal A. Nasiri
2018 J jnl
KNN-based least squares twin support vector machine for pattern classification.
Appl. Intell.
Amir M. Mir, Jalal A. Nasiri