Large language models (LLMs) are increasingly studied for software vulnerability detection, but the benefits of recent reasoning-enabled (“thinking”) modes remain unclear. At the same time, agentic LLM designs aim to enhance analysis through structured collaboration, while practical software security workflows require...
Hua-Beng Tan, Ratnadira Widyasari, Merve Astekin et al.· Proceedings of the 41st IEEE...· 0 citations
Large language models (LLMs) are increasingly used in software engineering, including agentic systems that coordinate multiple agents, but impose higher computational and environmental costs. In this paper, we present a comprehensive empirical study of agentic LLM systems across five software engineering tasks: code ge...
Merve Astekin, Yan Naing Tun, Arda Goknil et al.· 0 citations
A continuum-native agent paradigm is argued for that decomposes agents into intelligence, persona, and memory, allowing their independent placement, migration, and replication across the computing continuum, from cloud to edge, IoT, and emerging hardware platforms.
Hui Song, Arda Goknil, Dumitru Roman et al.· Conference on Computer Scien...· 0 citations
Inspection of critical infrastructure, such as power lines, is increasingly conducted using unmanned aerial vehicles (UAVs) that capture aerial video for subsequent human review. Although recent edge-based approaches deploy onboard object detectors to identify predefined defect classes, these pipelines remain closed-se...
Reza Farahani, Zoha Azimi, Ilir Murturi et al.· International Conference on...· 1 citation
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