most citedEnhancing Code Understanding for Impact Analysis by Combining Transformers and Program Dependence Graphs

6 citations

5 papers

cs.CR2026

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…

cs.SE20266 cited

Enhancing Code Understanding for Impact Analysis by Combining Transformers and Program Dependence Graphs

Yanfu Yan, Nathan Cooper, Kevin Moran +3

Impact analysis (IA) is a critical software maintenance task that identifies the effects of a given set of code changes on a larger software project with the intention of avoiding…

cs.MA2026

Adoption and Ecosystem Health: A Longitudinal Analysis of Open-Source Multi-Agent Frameworks

Xi Zhang, Papi Menon, Vivian Chu +1

Since ChatGPT's launch in November 2022, open-source agentic frameworks have proliferated, making framework selection important for engineering teams while obscured by popularity s…

cs.SE20261 cited

Execution-bound advisory automation for agentic AI: a reproducible AIBOM-driven CSAF-VEX framework

Petar Radanliev, Omar Santos, Carsten Maple +1

A protocol driven framework is presented that binds SBOM and AIBOM artefacts to deterministic environment capture and structured runtime telemetry. Exploitability is computed from…

cs.CR2026

Benchmarking Knowledge-Extraction Attack and Defense on Retrieval-Augmented Generation

Zhisheng Qi, Utkarsh Sahu, Li Ma +9

Retrieval-Augmented Generation (RAG) has become a cornerstone of knowledge-intensive applications, including enterprise chatbots, healthcare assistants, and agentic memory manageme…