2025/07/31 by Alexander Felfernig, Damian Garber, Felfernig, Alexander +7
Business, Management and Accounting · Computer Science · #Advanced Software Engineering Methodologies #Business Process Modeling and Analysis #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Service-Oriented Architecture and Web Services
paper · pdf · doi:10.48550/arxiv.2507.23410
openalex publication_date 2025/07/31 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
The idea of product line scoping is to identify the set of features and configurations that a product line should include, i.e., offer for configuration purposes. In this context, a major scoping task is to find a balance between commercial relevance and technical feasibility. Traditional product line scoping approaches rely on formal feature models and require a manual analysis which can be quite time-consuming. In this paper, we sketch how Large Language Models (LLMs) can be applied to support product line scoping tasks with a natural language interaction based scoping process. Using a working example from the smarthome domain, we sketch how LLMs can be applied to evaluate different feature model alternatives. We discuss open research challenges regarding the integration of LLMs with product line scoping.