4 citations · 4 across the 4 of their papers we have counts for
4 papers · 1 filter
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…
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…
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…
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…