AI4PLE：一种将人工智能集成到产品线工程中的方法
AI4PLE: A Methodology for Integrating AI into Product Line Engineering
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中文总结 AI 辅助
针对人工智能与产品线工程（PLE）系统集成未被全面探索的问题，提出方法框架，通过工业环境下的多案例研究，支持将AI系统集成到PLE中，并评估其有效性。
中文摘要 AI 辅助
基于复用的开发在复杂系统创建中愈发重要，能降低成本、提高质量并加速上市时间。产品线工程（PLE）通过复用共享资产和能力，为实现这一潜力提供系统方法。PLE涉及众多复杂决策，对产品线成功至关重要。尽管人工智能（AI）有潜力，但尚未全面探索其与PLE流程的系统集成。本文提出支持AI与PLE系统集成的方法框架，并通过工业环境中的多案例研究评估其有效性。
英文摘要
Reuse-based development has become increasingly important in the creation of complex systems, offering significant opportunities to reduce costs, improve quality, and accelerate time-to-market. Product Line Engineering (PLE) provides a systematic approach to realizing this potential by enabling the efficient creation, management, and customization of product families by reusing shared assets and capabilities. PLE involves addressing numerous complex decisions, including feature selection, variability management, and configuration optimization, which are critical to the success of a product line. Despite its promise, the systematic integration of Artificial Intelligence (AI) into PLE processes has not yet been comprehensively explored. In this paper, we propose a methodological framework to support the systematic integration of AI into PLE and evaluate its effectiveness through a multi-case study conducted in an industrial context.
