系统梳理对话系统工程体系，展望智能对话的可持续开发路径。
Dialogue Systems Engineering: A Survey and Future Directions
- 以软件工程框架为蓝本，构建对话系统全生命周期方法论
- 识别各环节未解问题，提出面向未来的技术演进方向
- 适合对话系统研发者、AI产品工程师及技术管理者阅读
本文提出将对话系统全生命周期相关的软件工程研究称为对话系统工程，并基于《软件工程知识体》（SWEBOK）第4.0版的框架，系统梳理该领域的知识领域。随着大语言模型的发展，对话系统核心技术已取得显著进步，其应用范围扩展至社会问题解决与商业场景。为实现高效、可持续的对话系统构建与运维，不仅需复用现有软件工程实践，更需发展专用于对话系统的工程方法。本文在各知识领域下开展综述，识别当前未探索的研究方向，探讨对话系统工程的未来发展方向。
原文摘要 · Abstract (English)
This paper proposes to refer to the field of software engineering related to the life cycle of dialogue systems as Dialogue Systems Engineering, and surveys this field while also discussing its future directions. With the advancement of large language models, the core technologies underlying dialogue systems have significantly progressed. As a result, dialogue system technology is now expected to be applied to solving various societal issues and in business contexts. To achieve this, it is important to build, operate, and continuously improve dialogue systems correctly and efficiently. Accordingly, in addition to applying existing software engineering knowledge, it is becoming increasingly important to evolve software engineering tailored specifically to dialogue systems. In this paper, we enumerate the knowledge areas of dialogue systems engineering based on those of software engineering, as defined in the Software Engineering Body of Knowledge (SWEBOK) Version 4.0, and survey each area. Based on this survey, we identify unexplored topics in each area and discuss the future direction of dialogue systems engineering.
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