activity
20202026
most citedConstraint Solving with Deep Learning for Symbolic Execution

4 citations · 4 across the 4 of their papers we have counts for

collaborators

7 papers

cs.SE2026

Beyond Functional Correctness: Static Code Quality Profiling of LLM-Generated Code

Jue Huang, Tarek Mahmud, Meiru Che +1

Large language models (LLMs) are increasingly used for code generation, yet most evaluations still focus on whether generated code passes benchmark test suites. Functional correctn…

cs.SE2026

A Systematic Study of Deprecated Android API Usage Updates

Tarek Mahmud, Meiru Che, Guowei Yang

Android Application Programming Interfaces (APIs) continuously evolve, causing existing APIs to become deprecated and requiring developers to migrate their usages to recommended re…

cs.SE2026

Harnessing LLMs for Document-Guided Fuzzing of Python Libraries

Bin Duan, Tarek Mahmud, Meiru Che +4

Python libraries underpin deep learning, scientific computing, data analysis, and computer vision, making their reliability critical to downstream applications. Testing their APIs…

cs.LG2026

Testing Neural Networks via Bayesian-Guided Exploration of Decision Landscapes

Bin Duan, Meiru Che, Guowei Yang

As neural networks are increasingly deployed in safety-critical domains, testing is essential to evaluate and improve their reliability. Existing testing methods, whether black-box…

cs.SE2025

Harnessing LLMs for Document-Guided Fuzzing of OpenCV Library

Bin Duan, Tarek Mahmud, Meiru Che +4

The combination of computer vision and artificial intelligence is fundamentally transforming a broad spectrum of industries by enabling machines to interpret and act upon visual da…

cs.SE2024

Automated Update of Android Deprecated API Usages with Large Language Models

Tarek Mahmud, Bin Duan, Meiru Che +3

Android apps rely on application programming interfaces (APIs) to access various functionalities of Android devices. These APIs however are regularly updated to incorporate new fea…

cs.SE2020★ 4 cited

Constraint Solving with Deep Learning for Symbolic Execution

Junye Wen, Mujahid Khan, Meiru Che +2

Symbolic execution is a powerful systematic software analysis technique, but suffers from the high cost of constraint solving, which is the key supporting technology that affects t…