SEAug 11, 2020

Changes, States, and Events: The Thread from Staticity to Dynamism in the Conceptual Modeling of Systems

arXiv:2008.05017v16 citations
Originality Synthesis-oriented
AI Analysis

It addresses conceptual modeling challenges for system designers, but appears incremental as it builds on existing FSM approaches.

This paper tackles the problem of modeling change in conceptual systems by re-expressing a finite state machine model of a car transmission using a new thinging machine methodology, showing that static descriptions can specify system behavior through temporal events.

This paper examines the concept of change in conceptual modeling. Change is inherent in the nature of things and has increasingly become a focus of much interest and investigation. Change can be modeled as a transition between two states of a finite state machine (FSM). This change represents an exploratory starting point in this paper. Accordingly, a sample FSM that models a car s transmission system is re-expressed in terms of a new modeling methodology called thinging machine (TM) modeling. Recasting the car-transmission model involves developing (1) an S model that captures the static aspects, (2) a D model that identifies states, and (3) a B model that specifies the behavior. The analysis progresses as follows. - S represents an atemporal diagrammatic description that embeds underlying compositions (static changes) from which the roots of system behavior can be traced. - S is broken down into multiple subsystems that correspond to static states (ordered constitutive components). - Introducing time into static states converts these states into events, and the behavior (B) model is constructed based on the chronology of these events. The analysis shows that FSM states are static (atemporal) changes that introduce temporal events as carriers of behavior. This result enhances the semantics of the concepts of change, states, and events in modeling and shows how to specify a system s behavior through its static description.

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