构建6G软件中智能体系统的成熟度模型，助力企业评估转型能力。
Agentic AI in 6G Software Businesses: A Layered Maturity Model
- 基于29个驱动力与27个阻碍因素，提炼五类主题
- 提出分层成熟度框架，融合数据、业务逻辑与展示三维度
- 为6G软件企业制定智能体优先战略提供可操作指南
6G软件业务中智能体AI系统的兴起带来战略机遇与重大挑战。尽管此类系统有望在分布式环境中实现更高自主性、可扩展性与智能决策，但其采纳仍面临技术不成熟、集成复杂、组织准备度不足及性能-成本权衡等问题。本研究通过多视角文献综述与定向扫描，识别出29项推动因素与27项阻碍因素，并将其归类为五大主题。该主题映射为组织在智能体转型中的促进与抑制因素提供了结构化视图。作为可行性评估，本研究是更广泛研究计划的初步阶段，旨在构建并验证一个基于CMMI模型的分层成熟度模型，涵盖软件架构的三大维度：数据、业务逻辑与展示。最终目标是为以软件为核心的企业提供实用框架，帮助其评估、构建并推进面向6G需求的智能体优先能力。
原文摘要 · Abstract (English)
The emergence of agentic AI systems in 6G software businesses presents both strategic opportunities and significant challenges. While such systems promise increased autonomy, scalability, and intelligent decision-making across distributed environments, their adoption raises concerns regarding technical immaturity, integration complexity, organizational readiness, and performance-cost trade-offs. In this study, we conducted a preliminary thematic mapping to identify factors influencing the adoption of agentic software within the context of 6G. Drawing on a multivocal literature review and targeted scanning, we identified 29 motivators and 27 demotivators, which were further categorized into five high-level themes in each group. This thematic mapping offers a structured overview of the enabling and inhibiting forces shaping organizational readiness for agentic transformation. Positioned as a feasibility assessment, the study represents an early phase of a broader research initiative aimed at developing and validating a layered maturity model grounded in CMMI model with the software architectural three dimensions possibly Data, Business Logic, and Presentation. Ultimately, this work seeks to provide a practical framework to help software-driven organizations assess, structure, and advance their agent-first capabilities in alignment with the demands of 6G.
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