3 citations · 5 across the 7 of their papers we have counts for
4 papers · 1 filter
Can LLMs Patch Security Issues?
Kamel Alrashedy, Abdullah Aljasser, Pradyumna Tambwekar +1
Large Language Models (LLMs) have shown impressive proficiency in code generation. Unfortunately, these models share a weakness with their human counterparts: producing code that i…
Language Models are Better Bug Detector Through Code-Pair Classification
Kamel Alrashedy, Ahmed Binjahlan
Large language models (LLMs) such as GPT-3.5 and CodeLlama are powerful models for code generation and understanding. Fine-tuning these models comes with a high computational cost…
Learning Defect Prediction from Unrealistic Data
Kamel Alrashedy, Vincent J. Hellendoorn, Alessandro Orso
Pretrained models of code, such as CodeBERT and CodeT5, have become popular choices for code understanding and generation tasks. Such models tend to be large and require commensura…
How do Software Engineering Researchers Use GitHub? An Empirical Study of Artifacts & Impact
Kamel Alrashedy, Ahmed Binjahlan
Millions of developers share their code on open-source platforms like GitHub, which offer social coding opportunities such as distributed collaboration and popularity-based ranking…