Our paper On The Evolution of CAEX: A Language Engineering Perspective has been advertised and published by the IEEE IE Technology New

http://ies-iten.com/index.php 

http://ies-iten.com/downloadpdf.php?aid=95&fid=ITeN_04-Oct2016.pdf

http://ies-iten.com/www.etfa2016.org

Our paper On The Evolution of CAEX: A Language Engineering Perspective has been accepted for publication at ETFA 2016

http://www.etfa2016.org/index.php

CAEX is one of the most promising standards when it comes to data exchange between engineering tools in the production system automation domain. This is also reflected by the current emergence of AutomationML which uses CAEX as its core representation data format. Having such standards at hand, the question arises how to deal with the evolution of such standards as is currently happening with the transition from  CAEX 2.15 to CAEX 3.0.

In this paper, we take a language engineering point of view to the evolution of engineering data formats. In particular, we present how CAEX can be formulated in a model-based framework which allows to reason about evolution of the data format as well as its impact on the data stored in such evolving formats. By this, not only the migration process of existing data to the new format version is possible, but also a more theoretical investigation on data preservation is possible.We demonstrate the approach by the concrete case of the upcoming CAEX evolution.

Abstract

Huge efforts have been invested in the last decade concerning the establishment of dedicated analysis methods and techniques for model transformations. The analysis of general properties such as termination and confluence as well as specific properties defined for one particular transformation have been studied for different transformation kinds and languages. What most transformation analyses have in common is that they consider the transformation specifications as their primary source. However, as I will show in my presentation, methods and techniques deployed for analysing potential transformation executions at runtime are needed as well. As transformation executions quickly span huge transformation spaces, I will show how to effectively analyse and guide transformation executions towards fulfilling multiple, potentially conflicting transformation goals by employing search-based techniques.

We recently started the integration of the AutomationML standard with PMIF (Performance Interchange File Format). Further details here

AML – PMIF Integration: Performance Modeling in Industrial Automation

On January 26th, Manuel Wimmer gave a talk on Model-Driven Engineering of flexible Production Systems at the Microsoft Event on Industrie 4.0 and Internet of Things. Further information and the whole agenda can be found at the event website.

Find our new videos on the Functional Mockup Interface (FMI) and AutomationML Plugin for Enterprise Architect here:

FMI for Enterprise Architect

AutomationML Plugin for Enterprise Architect