37 citations · 124 across the 35 of their papers we have counts for
10 papers · 1 filter
Model-Driven Quantum Code Generation Using Large Language Models and Retrieval-Augmented Generation
Nazanin Siavash, Armin Moin
This paper introduces a novel research direction for model-to-text/code transformations by leveraging Large Language Models (LLMs) that can be enhanced with Retrieval-Augmented Gen…
OrQstrator: An AI-Powered Framework for Advanced Quantum Circuit Optimization
Laura Baird, Armin Moin
We propose a novel approach, OrQstrator, which is a modular framework for conducting quantum circuit optimization in the Noisy Intermediate-Scale Quantum (NISQ) era. Our framework…
LLM-Powered Quantum Code Transpilation
Nazanin Siavash, Armin Moin
There exist various Software Development Kits (SDKs) tailored to different quantum computing platforms. These are known as Quantum SDKs (QSDKs). Examples include but are not limite…
Mining Software Repositories for Expert Recommendation
Chad Marshall, Andrew Barovic, Armin Moin
We propose an automated approach to bug assignment to developers in large open-source software projects. This way, we assist human bug triagers who are in charge of finding the bes…
TinyML for Speech Recognition
Andrew Barovic, Armin Moin
We train and deploy a quantized 1D convolutional neural network model to conduct speech recognition on a highly resource-constrained IoT edge device. This can be useful in various…
Bug Destiny Prediction in Large Open-Source Software Repositories through Sentiment Analysis and BERT Topic Modeling
Sophie C. Pope, Andrew Barovic, Armin Moin
This study explores a novel approach to predicting key bug-related outcomes, including the time to resolution, time to fix, and ultimate status of a bug, using data from the Bugzil…
Automated Bug Report Prioritization in Large Open-Source Projects
Riley Pierson, Armin Moin
Large open-source projects receive a large number of issues (known as bugs), including software defect (i.e., bug) reports and new feature requests from their user and developer co…
Automated Duplicate Bug Report Detection in Large Open Bug Repositories
Clare E. Laney, Andrew Barovic, Armin Moin
Many users and contributors of large open-source projects report software defects or enhancement requests (known as bug reports) to the issue-tracking systems. However, they someti…
Stock Price Prediction Using a Hybrid LSTM-GNN Model: Integrating Time-Series and Graph-Based Analysis
Meet Satishbhai Sonani, Atta Badii, Armin Moin
This paper presents a novel hybrid model that integrates long-short-term memory (LSTM) networks and Graph Neural Networks (GNNs) to significantly enhance the accuracy of stock mark…
Enhancing SQL Injection Detection and Prevention Using Generative Models
Naga Sai Dasari, Atta Badii, Armin Moin +1
SQL Injection (SQLi) continues to pose a significant threat to the security of web applications, enabling attackers to manipulate databases and access sensitive information without…