First-class variability modeling in Matlab/Simulink

  • Authors:

  • Arne Haber;Carsten Kolassa;Peter Manhart;Pedram Mir Seyed Nazari;Bernhard Rumpe;Ina Schaefer

  • Affiliations:

  • RWTH Aachen University, Germany;RWTH Aachen University, Germany;Software-Variantenmanagement Daimler AG, Germany;RWTH Aachen University, Germany;RWTH Aachen University, Germany;Software Engineering and Automotive Informatics, TU Braunschweig, Germany

  • Venue:
  • Proceedings of the Seventh International Workshop on Variability Modelling of Software-intensive Systems
  • Year:
  • 2013

Quantified Score

Hi-index 0.00

Visualization

Abstract

Modern cars exist in an vast number of variants. Thus, variability has to be dealt with in all phases of the development process, in particular during model-based development of software-intensive functionality using Matlab/Simulink. Currently, variability is often encoded within a functional model leading to so called 150%-models which easily become very complex and do not scale for larger product lines. To counter these problems, we propose a modular variability modeling approach for Matlab/Simulink based on the concept of delta modeling [8, 9, 24]. A functional variant is described by a delta encapsulating a set of modifications. A sequence of deltas can be applied to a core product to derive the desired variant. We present a prototypical implementation, which is integrated into Matlab/Simulink and offers graphical editing of delta models.