Exploring the Potential of Large Language Models in Self-adaptive SystemsSHORT
Large Language Models (LLMs), with their abilities in knowledge acquisition and reasoning, can potentially enhance the various aspects of Self-adaptive Systems (SAS). Yet, the potential of LLMs in SAS remains largely unexplored and ambiguous, due to the lack of literature from flagship conferences or journals in the field, such as SEAMS and TAAS. The interdisciplinary nature of SAS suggests that drawing and integrating ideas from related fields, such as software engineering and autonomous agents, could unveil innovative research directions for LLMs within SAS. To this end, this paper reports the results of a literature review of studies in relevant fields, summarizes and classifies the studies relevant to SAS, and outlines their potential to specific aspects of SAS.
Mon 15 AprDisplayed time zone: Lisbon change
14:00 - 15:30 | Session 3: Unmanned Aerial Vehicles and LLMs Research Track / Artifact Track at Luis de Freitas Branco Chair(s): Gabriel A. Moreno Carnegie Mellon University Software Engineering Institute | ||
14:00 25mTalk | ADAM: Adaptive Monitoring of Runtime Anomalies in Small Uncrewed Aerial SystemsFULL Research Track Md Nafee Al Islam University of Notre Dame, Jane Cleland-Huang University of Notre Dame, Michael Vierhauser University of Innsbruck | ||
14:25 15mTalk | Towards Proactive Decentralized Adaptation of Unmanned Aerial Vehicles for Wildfire TrackingSHORT Research Track Enrique Vilchez University of Malaga, Javier Troya Universidad de Málaga, Spain, Javier Camara University of Málaga | ||
14:40 15mTalk | Wildfire-UAVSim: An Exemplar for Evaluation of Adaptive Cyber-Physical Systems in Partially-Observable EnvironmentsARTIFACT Artifact Track Enrique Vilchez University of Malaga, Javier Troya Universidad de Málaga, Spain, Javier Camara University of Málaga | ||
14:55 15mTalk | Aloft: Self-Adaptive Drone Controller TestbedARTIFACT Artifact Track Calum Imrie University of York, Rhys Howard University of Oxford, Divya Thuremella University of Oxford, Nawshin Mannan Proma University of York, Tejas Pandey University of York, Paulina Lewinska University of York, Ricardo Cannizzaro University of Oxford, Richard Hawkins University of York, Colin Paterson University of York, Lars Kunze University of Oxford, Victoria J. Hodge University of York | ||
15:10 15mTalk | Exploring the Potential of Large Language Models in Self-adaptive SystemsSHORT Research Track Jialong Li Waseda University, Japan, Mingyue Zhang Southwest University, NIANYU LI ZGC Lab, China, Danny Weyns KU Leuven, Zhi Jin Peking University, Kenji Tei Tokyo Institute of Technology | ||