A Curated Corpus of Simulink Models for Model-Based Empirical Studies
A Curated Corpus of Simulink Models for Model-Based Empirical Studies
复制标题
用于基于模型的实证研究的 Simulink 模型精选语料库
DOI：
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发表时间：
2018
期刊：
影响因子：
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通讯作者：
Christoph Csallner
中科院分区：
文献类型：
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作者：
Shafiul Azam Chowdhury;L. S. Varghese;Soumik Mohian;Taylor T. Johnson;Christoph Csallner
近年来，基于模型的信息物理系统和商业CPS开发工具链（如Matlab/Simulink）的实证研究很多。为了使此类研究受益，本文介绍了迄今为止最大的免费Simulink模型语料库，包含1,000多个模型。基于这个语料库的令人惊讶的发现包括：（a）工具支持的度量收集是不够的，（B）用户不重用模型组件，因为他们将在面向对象的程序。这篇论文既证实了也反驳了早期的研究结果，这些研究结果是基于更少的模型，这表明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，我们希望我们免费提供的语料库和基础设施将有利于未来的基于模型的实证研究和工具开发工作，减少模型收集的开销，从而减轻评估。
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.