Modern software systems continuously undergo code upgrades to enhance functionality, security, and performance, and Large Language Models (LLMs) have demonstrated remarkable capabilities in code migration tasks. However, while research on automated code migration which including refactoring, API adaptation, and dependency updates has advanced rapidly, the exploration of the automated environment interaction that must accompany it remains relatively scarce. In practice, code and its environment are intricately intertwined. Relying solely on static analysis of the environment leads to an inadequate understanding of the target setting, prolongs feedback cycles, and consequently causes significant rework and project delays, thereby reducing overall efficiency. We contend that successful software evolution demands a holistic perspective that integrates both code and environment migration. To understand the current landscape and challenges, we first provide an overview of the status of automated environment construction. We then propose a novel framework paradigm that tightly integrates automated environment setup with the code migration workflow. Finally, we explore the challenges and future directions for automated environment interaction within the code migration domain. Our findings emphasize that without automated environment interaction, the automation of code migration is only half complete.

翻译：现代软件系统持续进行代码升级以增强功能、安全性和性能，而大型语言模型（LLM）在代码迁移任务中已展现出卓越能力。然而，尽管涵盖重构、API适配和依赖项更新的自动化代码迁移研究进展迅速，对其必须伴随的自动化环境交互的探索仍相对匮乏。实践中，代码与其运行环境错综复杂地交织在一起。仅依赖对环境的静态分析会导致对目标设置的理解不足、延长反馈周期，进而引发大量返工和项目延误，从而降低整体效率。我们认为成功的软件演进需要采用整合代码与环境迁移的整体视角。为理解当前现状与挑战，我们首先概述了自动化环境构建的发展状况，随后提出一种将自动化环境设置与代码迁移工作流紧密集成的新型框架范式。最后，我们探讨了代码迁移领域中自动化环境交互面临的挑战与未来方向。我们的研究强调：若缺乏自动化环境交互，代码迁移的自动化进程仅完成了一半。