A Curated Corpus of Simulink Models for Model-Based Empirical Studies

Shafiul Azam Chowdhury, L. S. Varghese, Soumik Mohian, Taylor T. Johnson, Christoph Csallner
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引用次数: 21

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.
基于模型的实证研究的Simulink模型的策划语料库
近年来,人们对基于模型的网络物理系统和商业CPS开发工具链(如Matlab/Simulink)进行了许多实证研究。为了使此类研究受益,本文提供了迄今为止最大的免费可用的Simulink模型语料库,包含1000多个模型。基于这个语料库的令人惊讶的发现包括:(a)工具对度量集合的支持是不够的,(b)用户不像在面向对象程序中那样重用模型组件。这篇论文既证实了早期的发现,也反驳了早期的发现,这些发现基于更少的模型,表明了语料库对未来研究的实用性。虽然其他人还没有利用这个模型语料库,但我们希望我们的免费可用的语料库和基础设施将通过减少模型收集开销,从而简化评估,从而有益于未来基于模型的实证研究和工具开发工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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