AI原生软件开发生命周期：一种理论与实践的新方法论
The AI-Native Software Development Lifecycle: A Theoretical and Practical New Methodology
AI总结：
本文提出一种完全AI原生的软件开发生命周期新方法论，并引入V-Bounce模型，利用AI大幅减少实施阶段耗时，将人类角色从主要实施者转变为验证者和确认者，AI充当实施引擎。
摘要：
随着AI不断进步并影响软件开发生命周期（SDLC）的每个阶段，对全新软件开发方式的需求应运而生。通过分析影响当前SDLC状态的因素及其在AI影响下的变化，我们提出了一种新的开发模型。本白皮书提出了一种完全AI原生的SDLC的出现，其中AI从规划到部署无缝集成到开发的每个阶段。我们引入了V-Bounce模型，这是对传统V模型的改编，将AI从头到尾融入其中。V-Bounce模型利用AI大幅减少实施阶段花费的时间，将重点转向需求收集、架构设计和持续验证。该模型将人类的角色从主要实施者重新定义为主要的验证者和确认者，而AI则作为实施引擎。
英文摘要：
As AI continues to advance and impact every phase of the software development lifecycle (SDLC), a need for a new way of building software will emerge. By analyzing the factors that influence the current state of the SDLC and how those will change with AI we propose a new model of development. This white paper proposes the emergence of a fully AI-native SDLC, where AI is integrated seamlessly into every phase of development, from planning to deployment. We introduce the V-Bounce model, an adaptation of the traditional V-model that incorporates AI from end to end. The V-Bounce model leverages AI to dramatically reduce time spent in implementation phases, shifting emphasis towards requirements gathering, architecture design, and continuous validation. This model redefines the role of humans from primary implementers to primarily validators and verifiers with AI acting as an implementation engine.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
