Observational analysis demonstrates reduced design time and enhanced configuration adaptability in complex systems, indicating improved methodologies in product line engineering and systems engineering.
Product Line Engineering (PLE) and Systems Engineering (SE) are critical for developing complex systems, yet current methodologies inadequately address the integration of variability across multiple layers of system design. This study introduces an integrated variability modeling framework based on FODA and aligned with ARCADIA’s MBSE method, addressing operational, functional, and constructional viewpoints. Validation using Renault’s Advanced Driver-Assistance Systems (ADAS) showcased reduced design time and enhanced configuration adaptability. Key challenges, such as aligning feature models and managing dependencies, were addressed through a modular, layered strategy. The proposed approach ensures flexibility, scalability, and system integrity, offering a robust framework for diverse domains.
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Lameh et al. (2025) studied this question.
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