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IEC 61499 Delta Modeling Case Studies Repository

This repository contains the accompanying material to the paper Delta Modeling in IEC 61499: Expressing Control Software Variability of Cyber-Physical Product Systems.

IEC~61499 is a standard for developing industrial distributed control software. It supports the configurability of the control software as the application model is platform-independent and separated from the hardware configuration specification. It is thus a good basis to develop control software for highly configurable Cyber-Physical Production Systems (CPPSs). Systematically managing the control software variability in CPPSs would help to increase reuse and reduce the cost of developing and/or maintaining CPPSs.

In this paper, we propose an approach to systematically manage IEC 61499-based control software using a (textual) delta modeling approach. The delta modeling approach is a prominent concept in the Software Product Line (SPL) domain for expressing and maintaining software variability. We show how our delta modeling approach can express control software variability and provide a semi-automatic control software generator. The results confirm that our delta modeling approach can be helpful for implementing and maintaining IEC~61499-based control software variability.

Organization of the repository

The repository contains five use cases:

Each use case follows the following structures:

  • core: This folder contains a 4diac project representing a base implementation for a production system in each case study.
  • delta: This folder contains one or more Delta Model to adjust the base implementation into a specific production system variant. This folder also contains a DeltaConfiguration file which define a mapping between one or more delta models into a feature inside a FeatureIDE feature model.
  • SPLConfig: This folder contains multiple configuration setup for the Variability for 4diac (V4rdiac) tool.
  • variabilityModels: This folder contains one or more feature models describing the variability of a production system for each case study.

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