Showing 2026Show all
3 papers · 1 filter
cs.SE2026
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…
cs.SE2026
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…
cs.SE2026
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…