2 citations · 2 across the 1 of their papers we have counts for
9 papers
Automatic Detection of LLM-Generated Code: A Comparative Case Study of Contemporary Models Across Function and Class Granularities
Musfiqur Rahman, SayedHassan Khatoonabadi, Ahmad Abdellatif +1
The adoption of Large Language Models (LLMs) for code generation risks incorporating vulnerable code into software systems. Existing detectors face two critical limitations: a lack…
The Impact of Large Language Models (LLMs) on Code Review Process
Antonio Collante, Samuel Abedu, SayedHassan Khatoonabadi +3
Large language models (LLMs) have recently gained prominence in the field of software development, significantly boosting productivity and simplifying teamwork. Although prior stud…
An Approach for Auto Generation of Labeling Functions for Software Engineering Chatbots
Ebube Alor, Ahmad Abdellatif, SayedHassan Khatoonabadi +1
Software engineering (SE) chatbots are increasingly gaining attention for their role in enhancing development processes. At the core of chatbots are Natural Language Understanding…
The Impact of Environment Configurations on the Stability of AI-Enabled Systems
Musfiqur Rahman, SayedHassan Khatoonabadi, Ahmad Abdellatif +2
Nowadays, software systems tend to include Artificial Intelligence (AI) components. Changes in the operational environment have been known to negatively impact the stability of AI-…
Opportunities and Security Risks of Technical Leverage: A Replication Study on the NPM Ecosystem
Haya Samaana, Diego Elias Costa, Ahmad Abdellatif +1
To comply with high productivity demands, software developers reuse free open-source software (FOSS) code to avoid reinventing the wheel when incorporating software features. The r…
A Machine Learning-Based Approach For Detecting Malicious PyPI Packages
Haya Samaana, Diego Elias Costa, Emad Shihab +1
Background. In modern software development, the use of external libraries and packages is increasingly prevalent, streamlining the software development process and enabling develop…