LLM agents increasingly collaborate and utilize external tools to address complex user requests. This emerging paradigm demands vast volumes of data for training, testing, reasoning, memory, and execution to ensure accurate and timely responses and actions. Despite the clear benefits, there remains a pressing need for a more rigorous characterization of software engineering constructs to effectively support LLM agents—particularly in areas such as orchestration, data management, knowledge augmentation, and planning. This workshop explores novel solutions to these challenges from the joint perspectives of software engineering and big data.
The goal of this workshop is to discuss original, high-quality software engineering challenges and applied solutions for agentic AI and its synergy with big data, including frameworks, data science pipelines, integrations, and representations.
We invite original research papers on Software Engineering for Agentic AI.
Use the submission system: https://wi-lab.com/cyberchair/2025/bigdata25/index.php
This workshop is online. A meeting link will be provided at a later date.