Published June 13, 2018 | Version 1.0

A Corpus of Publicly Available Simulink Models for Model-based Empirical Studies

  • 1. The University of Texas at Arlington
  • 2. Vanderbilt University

Description

Abstract: Recent years have seen many empirical studies of model-based cyber-physical systems and commercial CPS development tool chains such as Matlab/Simulink. To benefit such research, this paper presents the by-far largest corpus of freely available Simulink models to date, containing over 1,000 models.

Surprising findings based on this corpus include that (a) tool support for metric collection is not adequate and (b) users do not reuse model components as they would in object-oriented programs.

The paper both confirms and contradicts earlier findings that are based on significantly fewer models, suggesting the utility of the corpus for future research. While others have not yet leveraged this model corpus, we hope that our freely available corpus and infrastructure will benefit future model-based empirical research and tool development efforts, by reducing the model-collection overhead and thus easing evaluation.

Please see our paper "A curated corpus of Simulink models for model-based empirical studies"  In Proc. 4th International Workshop on Software Engineering for Smart Cyber-Physical Systems (SEsCPS)

See https://github.com/verivital/slsf_randgen/wiki for more details including information related to downloading the Simulink models.

http://ranger.uta.edu/~csallner/csallner_bib.html#Chowdhury18Curated

Notes

See https://github.com/verivital/slsf_randgen/wiki for more details including information related to downloading the Simulink models.

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