37 citations · 124 across the 35 of their papers we have counts for
36 papers
SPIDER4TianoCore: Enhancing Patch-Propagation for the TianoCore UEFI Firmware Development Ecosystem
Laura Baird, Devin Haggitt, Terrance E. Boult +2
We propose and demonstrate SPIDER4TianoCore, a packaged Python command-line tool that provides integration-stage patch-status evidence for the TianoCore/UEFI firmware supply chain.…
Enhancing Bug Report Templates in the TianoCore UEFI Firmware Development Community
Laura Baird, Neelesh Reddybattula, Nazanin Siavash +2
We propose enhancing the bug report templates in the GitHub Issues issue tracking system used by the TianoCore open-source community with the aim of improving the bug triage and re…
An Empirical Study of the TianoCore Community
Nazanin Siavash, Connor Glosner, Ayushi Sharma +4
We investigate the software security and maintenance practices adopted by stakeholders in the TianoCore community and identify opportunities to improve firmware development workflo…
TianoForge: An Automated Bug Triage Approach for the TianoCore UEFI Firmware Development Community
Nazanin Siavash, Terrance E. Boult, Armin Moin
We propose a novel approach to bug triage in the TianoCore open-source UEFI firmware development ecosystem. This integrated approach, called TianoForge, deploys the state of the ar…
Automated Quantum Software and AI Engineering
Nazanin Siavash, Armin Moin
In this paper, we conduct a systematic literature review of (semi-) automated approaches to Quantum Software Engineering (QSE) and Quantum Artificial Intelligence (QAI). Prior work…
LLM4C2Rust: Large Language Models for Automated Memory-Safe Code Transpilation
Sarah Bedell, Nazanin Siavash, Armin Moin
Memory safety has long been a critical challenge in software engineering, particularly for legacy systems written in memory-unsafe languages such as C and C++. Rust, one of the you…
Enhancing Large Language Models with Retrieval Augmented Generation for Software Testing and Inspection Automation
Zoe Fingleton, Nazanin Siavash, Armin Moin
In this paper, we focus on automating two of the widely used Verification and Validation (V&V) activities in the Software Development Lifecycle (SDLC): Software testing and softwar…
Towards Predicting Multi-Vulnerability Attack Chains in Software Supply Chains from Software Bill of Materials Graphs
Laura Baird, Armin Moin
Software supply chain security compromises often stem from cascaded interactions of vulnerabilities, for example, between multiple vulnerable components. Yet, Software Bill of Mate…
A Bayesian Optimization-Based AutoML Framework for Non-Intrusive Load Monitoring
Nazanin Siavash, Armin Moin
Non-Intrusive Load Monitoring (NILM), commonly known as energy disaggregation, aims to estimate the power consumption of individual appliances by analyzing a home's total electrici…
Cascaded Vulnerability Attacks in Software Supply Chains
Laura Baird, Armin Moin
Most of the current software security analysis tools assess vulnerabilities in isolation. However, sophisticated software supply chain security threats often stem from cascaded vul…
"ENERGY STAR" LLM-Enabled Software Engineering Tools
Himon Thakur, Armin Moin
The discussion around AI-Engineering, that is, Software Engineering (SE) for AI-enabled Systems, cannot ignore a crucial class of software systems that are increasingly becoming AI…
State of the Quantum Software Engineering Ecosystem
Nazanin Siavash, Armin Moin
We study the current state of the Quantum Software Engineering (QSE) ecosystem, focusing on the achievements, activities, and engagements from academia and industry, with a special…
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…
Model-Driven Engineering for Quantum Programming: A Case Study on Ground State Energy Calculation
Furkan Polat, Hasan Tuncer, Armin Moin +1
This study introduces a novel framework that brings together two main Quantum Programming methodologies, gate-based Quantum Computing and Quantum Annealing, by applying the Model-D…
Enhancing Architecture Frameworks by Including Modern Stakeholders and their Views/Viewpoints
Armin Moin, Atta Badii, Stephan Günnemann +1
Various architecture frameworks for software, systems, and enterprises have been proposed in the literature. They identified several stakeholders and defined modeling perspectives,…