Application of the Extended Language Lexicon for Cyber-Physical Production Systems

This paper presents an approach for eliciting the capabilities of Cyber-Physical Production Systems (CPPS) through an extension of the Language Extended Lexicon (LEL), referred to as LEL-C. CPPS integrate hardware, software, and physical components—often in dynamic interaction with human and environmental factors—posing new challenges to requirements engineering. To address these, we adopt the capability-oriented perspective of e-CORE and propose leveraging LEL-C to systematically capture domain knowledge across digital and physical dimensions. The proposed extension incorporates additional attributes such as component type, system and physical location, interactions, data sources, and temporal constraints. We apply LEL-C to a wildfire detection and suppression system as a use case, showing how the method supports the structured identification of current system capabilities. It is planned to advance the validation of this prelimi-nary version of the LEL-C by developing a complete glossary for a CPSS. This will also provide improvements to the proposal. This foundational work enables a consistent strategy for capability elicitation in CPPS, con-tributing to the broader goal of aligning semantic models with both soft-ware and physical process properties.