Track 8: Intelligent Software Engineering & System Reliability | 智能软件工程与系统可靠性

Organizers | 组织者信息

• Chair: Zhe Cui, Professor, Chengdu Institute of Computer Applications, China
  崔喆，教授，中国科学院成都计算机应用研究所
• Co-Chair: Dan Tang, Professor, Chengdu University of Information Technology, China
  唐聃，教授，成都信息工程大学

Abstract | 论坛简介

As software systems grow increasingly complex, the convergence of Software Engineering (SE) and Artificial Intelligence (AI) has emerged as a critical research frontier. This track focuses on the synergy between advanced software methodologies and intelligent technologies, exploring two core dimensions: AI for SE, which utilizes Large Language Models (LLMs) to automate development processes; and SE for AI, which applies rigorous engineering disciplines to ensure the reliability of intelligent systems. We aim to deeply analyze how LLM-centric intelligent technologies are reshaping development paradigms, specifically addressing the balance between AI-driven automation and adaptive system reliability assurance to define the future trajectory of Intelligent Software Engineering.

随着软件系统日益复杂化，软件工程与人工智能的融合已成前沿。本论坛聚焦先进软件方法与智能技术的协同，重点探讨两大维度：AI for SE，即利用大语言模型（LLMs）实现开发自动化；与 SE for AI，即应用严谨工程规范确保智能系统的可靠性。本论坛致力于剖析以LLMs为核心的智能技术对研发范式的重塑，特别关注AI驱动的自动化演进，以及在追求机器智能的同时如何建立适配的系统可靠性保障，共同定义智能软件工程的未来路径。

Topics | 主题范围

• LLM-Driven Software Engineering | 大语言模型驱动的软件工程
• LLM Agents and Multi-Agent Systems in SE | 软件工程中的大模型智能体与多智能体系统
• Intelligent Software Testing and Analysis | 智能软件测试与分析
• Reliability and Security of AI Systems | AI 系统的可靠性与安全性
• Automated Program Repair & Debugging | 自动化程序修复与调试
• More… | 更多相关议题