AI4PLE: A Methodology for Integrating AI into Product Line Engineering

• URL: http://arxiv.org/abs/2607.22260v1
• Date: Fri, 24 Jul 2026 12:52:17 GMT
• Title: AI4PLE: A Methodology for Integrating AI into Product Line Engineering
• Abstract summary: Reuse-based development has become increasingly important in the creation of complex systems.<n>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.<n>Despite its promise, the systematic integration of Artificial Intelligence (AI) into PLE processes has not yet been comprehensively explored.
• Score: 2.6600435895872123
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 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.

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