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New Generation Computing

, Volume 35, Issue 3, pp 271–305

Comprehensive Transfer of Formal Methods Techniques to Cyber-Physical SystemsFirst Online: 15 July 2017Received: 25 May 2017Accepted: 29 June 2017

Abstract

This position paper describes the context, the goal, the strategy and the tactics of the ERATO MMSD project 2016–2022. The project aims at enhanced quality assurance measures for industry products like cars. In doing so, we follow a recent trend and exploit formal methods, a body of mathematical techniques originally developed for computer systems. However, there are fundamental gaps in application of formal methods to industry products: additional concerns in industry products such as continuous dynamics of physical components and quantitative measures such as probability, time, and cost make problems fundamentally different from those about software. Formal methods that accommodate these concerns is an active research area, which shows that it is a hard problem. There are several successful theoretical developments in this direction. They typically combine one individual technique with one specific concern, such as hybrid automata that extend automata with continuous dynamics. Our project aims to contribute to this hard problem in a unique way. In our project we will take a unique metamathematical strategy to bridging the gaps: instead of creating one technique for each concern, we want to find a meta-level theory that describes how to develop such techniques for many potential concerns in general. Through this strategy, together with our emphasis on real-world applications in industry, we expect a new prototype of applied mathematics will emerge. In this prototype, abstraction and genericity—characteristics of modern mathematics that are not often associated with application—are turned into crucial advantages in applications.

KeywordsFormal method Cyber-physical system Verification Synthesis Logic Automaton Category theory Metamathematics Control theory Software engineering Optimization Machine learning Hybrid dynamics Quantitative reasoning  Download fulltext PDF



Author: Ichiro Hasuo

Source: https://link.springer.com/



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