6 papers
How Do Coding Agents Optimize Software and Report Performance Validation? A Large-Scale Empirical Study of Open-Source Pull Requests
Huiyun Peng, Ricardo Calvo, Kelechi G. Kalu +1
Software performance optimization requires identifying bottlenecks and improvement opportunities, and empirically evaluating the effects and trade-offs across performance objective…
Model-Based Agentic Software Engineering
James C. Davis, Kelechi Kalu, Huiyun Peng +1
Coding agents increase implementation capacity without automatically making project intent, system structure, or acceptance evidence explicit. As implementation becomes abundant re…
Is US Defense Acquisition Ready to Acquire AI-Enabled Capabilities? Assessing the DoD Software Acquisition Pathway Through a Scenario-Based Policy Analysis
Daniel Lugo, James C. Davis
As AI systems transition from experimental prototypes to mission-critical tools, their dependence on dynamic data, evolving models, and governance raises questions about whether ex…
How Do Agents Perform Code Optimization? An Empirical Study
Huiyun Peng, Antonio Zhong, Ricardo Andrés Calvo Méndez +2
Performance optimization is a critical yet challenging aspect of software development, often requiring a deep understanding of system behavior, algorithmic tradeoffs, and careful c…
A Guide to Stakeholder Analysis for Cybersecurity Researchers
James C Davis, Sophie Chen, Huiyun Peng +2
Stakeholder-based ethics analysis is now a formal requirement for submissions to top cybersecurity research venues. This requirement reflects a growing consensus that cybersecurity…
Recommending Pre-Trained Models for IoT Devices
Parth V. Patil, Wenxin Jiang, Huiyun Peng +7
The availability of pre-trained models (PTMs) has enabled faster deployment of machine learning across applications by reducing the need for extensive training. Techniques like qua…