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cs.SE2026
A Comprehensive Evaluation of Code Language Models for Security Patch Detection
Nils Loose, Joseph Bienhüls, Joseph Bienhüls +4
Automated detection of vulnerability-fixing commits (\vfcs) is critical for timely security patch deployment, as advisory databases lag patch releases by a median of 25 days and ma…
cs.SE2026
Coverage-Guided Multi-Agent Harness Generation for Java Library Fuzzing
Nils Loose, Nico Winkel, Kristoffer Hempel +3
Coverage-guided fuzzing has proven effective for software testing, but targeting library code requires specialized fuzz harnesses that translate fuzzer-generated inputs into valid…
cs.SE2026
Beyond Accuracy: Characterizing Code Comprehension Capabilities in (Large) Language Models
Felix Mächtle, Jan-Niclas Serr, Nils Loose +1
Large Language Models (LLMs) are increasingly integrated into software engineering workflows, yet current benchmarks provide only coarse performance summaries that obscure the dive…