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12 papers · 1 filter
On Predicting Vulnerability Severity Using In-Context Learning: An Industrial Case Study
Daniel Rodriguez-Cardenas, David Nader Palacio, Anna Schmedding +8
Modern software systems require earlier and more scalable vulnerability severity assessment to reduce exposure to high-impact security flaws. Security analysts typically assign CVS…
Analytical solutions of 1D Maxwell's equations via infinite-order expansions
David Wei Ge
Analytical solutions to Maxwell's equations are essential for understanding the causal and instantaneous behavior of electromagnetic fields, yet they are challenging to obtain in o…
ECLAIR: A Causally-Grounded AI Framework for Scientific Discovery in Empirical Software Engineering
Alejandro Velasco, Daniel Rodriguez-Cardenas, Dipin Khati +2
The scientific method has long guided empirical research in Software Engineering (SE), but the complexity of modern software systems often hinders its systematic application. This…
Effects of Generative AI Errors on User Reliance Across Task Difficulty
Jacy Reese Anthis, Hannah Cha, Solon Barocas +2
The capabilities of artificial intelligence (AI) lie along a jagged frontier, where AI systems surprisingly fail on tasks that humans find easy and succeed on tasks that humans fin…
AVDA: Autonomous Vibe Detection Authoring for Cybersecurity
Fatih Bulut, Carlo DePaolis, Raghav Batta +1
With the rapid advancement of AI in code generation, cybersecurity detection engineering faces new opportunities to automate traditionally manual processes. Detection authoring - t…
Inline Visualization and Manipulation of Real-Time Hardware Log for Supporting Debugging of Embedded Programs
Andrea Bianchi, Zhi Lin Yap, Punn Lertjaturaphat +3
The development of user-friendly embedded prototyping systems like Arduino has made creating interactive devices more accessible. However, debugging these systems is challenging du…