Integrating Large Language Models (LLMs) into autonomous agents marks a significant shift in the research landscape by offering cognitive abilities that are competitive with human planning and reasoning. This paper explores the transformative potential of integrating Large Language Models into Multi-Agent (LMA) systems for addressing complex challenges in software engineering (SE). By leveraging the collaborative and specialized abilities of multiple agents, LMA systems enable autonomous problem-solving, improve robustness, and provide scalable solutions for managing the complexity of real-world software projects. In this paper, we conduct a systematic review of recent primary studies to map the current landscape of LMA applications across various stages of the software development lifecycle (SDLC). To illustrate current capabilities and limitations, we perform two case studies to demonstrate the effectiveness of state-of-the-art LMA frameworks. Additionally, we identify critical research gaps and propose a comprehensive research agenda focused on enhancing individual agent capabilities and optimizing agent synergy. Our work outlines a forward-looking vision for developing fully autonomous, scalable, and trustworthy LMA systems, laying the foundation for the evolution of Software Engineering 2.0.
Towards Reliable LLM-Driven Fuzz Testing: Vision and Road Ahead
Institute of Information Engineering, CAS（中国科学院信息工程研究所）；School of Cyber Security, University of Chinese Academy of Sciences（中国科学院大学网络空间安全学院）；University of Sydney（悉尼大学）；Singapore Management University（新加坡管理大学）
IoT Roadmap: Support for Internet of Things Software Systems Engineering
路线图是在博士学位的背景下进行的。在里约热内卢联邦大学系统工程和计算项目实验软件工程小组（COPPE/UFRJ）和法国高等理工大学工业和人类自动化控制、机械工程和计算机科学实验室（LAMIH UMR CNRS 8201）的合作下，该研究项目已于2011年12月12日在巴黎大学完成。路线图是对物联网应用特殊性的调查结果。它是从不同实验研究中收集的概念和证据的具体组织。它支持物联网软件系统的定义，并为项目团队提供特定项目来讨论和定义与指定、设计和实施物联网应用程序相关的基本方面。
Patient Digital Twins for Chronic Care: Technical Hurdles, Lessons Learned, and the Road Ahead
Scientific Academy for Service Technology e.V. (ServTech)（服务技术科学学会）；Faculty of Computers & Artificial Intelligence, Cairo University（开罗大学计算机与人工智能学院）；University of Macquarie（麦考瑞大学）；University of New Wales（新南威尔士大学）；FernUniversität in Hagen（哈根远程大学）；Egypt University of Informatics（埃及信息学大学）
Integrating LLMs in Software Engineering Education: Motivators, Demotivators, and a Roadmap Towards a Framework for Finnish Higher Education Institutes
Search-Based Software Engineering and AI Foundation Models: Current Landscape and Future Roadmap
Simula Research Laboratory（Simula研究实验室）；National Institute of Informatics（日本信息机构）；Kristiania University of Applied Sciences and Oslo Metropolitan University（克里斯蒂安尼亚应用科学大学和奥斯陆 Metropolitan 大学）
A Research Roadmap for Augmenting Software Engineering Processes and Software Products with Generative AI
University of Naples "Federico II" Napoli Italy；Ruhr Institute for Software Technology (paluno), University of Duisburg-Essen Essen Germany；Karlsruhe Institute of Technology (KIT) Karlsruhe Germany；Gran Sasso Science Institute (GSSI) L'Aquila Italy；University of Naples "Federico II"；Ruhr Institute for Software Technology (paluno), University of Duisburg-Essen；Karlsruhe Institute of Technology (KIT)；Gran Sasso Science Institute (GSSI)
