SEMay 15, 2018

Explicit Modelling of Physical Measures: From Event-B to Java

arXiv:1805.05517v1
Originality Synthesis-oriented
AI Analysis

This addresses modeling challenges for developers of cyber-physical systems, but it is incremental as it builds on existing formal methods.

The paper tackles the problem of heterogeneous representation and incoherent composition of physical measures in cyber-physical systems by presenting an engineering approach to explicitly model measurements throughout formal development, illustrated through a transition from Event-B models to Java implementations.

The increasing development of cyber-physical systems (CPSs) requires modellers to represent and reason about physical values. This paper addresses two major, inter-related, aspects that arise when modelling physical measures. Firstly, there is often a heterogeneity of representation; for example: speed can be represented in many different units (mph, kph, mps, etc. . . ). Secondly, there is incoherence in composition; for example: adding a speed to a temperature would provide a meaningless result in the physical world, even though such a purely mathematical operation is meaningful in the abstract. These aspects are problematic when implicit semantics - concerned with measurements - in CPSs are not explicit (enough) in the requirements, design and implementation models. We present an engineering approach for explicitly modelling measurements during all phases of formal system development. We illustrate this by moving from Event-B models to Java implementations, via object oriented design.

Foundations

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