论文标题
SLNET：第三方Simulink模型的可重新分配语料库
SLNET: A Redistributable Corpus of 3rd-party Simulink Models
论文作者
论文摘要
MATLAB/SIMULINK广泛用于基于模型的设计。工程师创建模型并将其编译为嵌入式代码，通常是为了控制汽车，航空和医疗保健应用中的安全至关重要的网络物理系统。尽管Simulink的重要性，但很少有大规模的经验Simulink研究，也许是因为没有大量的第三方开源Simulink模型可用。为了实现经验模拟研究，本文介绍了SLNET，SLNET是最大的自由使用的第三方Simulink模型。 SLNET比早期收藏具有多个优势。具体而言，SLNET比最大的Simulink模型的先前最大的语料库大8倍，其中包括自动构造的细粒度元数据，是独立的，允许重新分布。 SLNET可在允许的开源许可下获得，并包含其所有收集和分析工具。
MATLAB/Simulink is widely used for model-based design. Engineers create Simulink models and compile them to embedded code, often to control safety-critical cyber-physical systems in automotive, aerospace, and healthcare applications. Despite Simulink's importance, there are few large-scale empirical Simulink studies, perhaps because there is no large readily available corpus of third-party open-source Simulink models. To enable empirical Simulink studies, this paper introduces SLNET, the largest corpus of freely available third-party Simulink models. SLNET has several advantages over earlier collections. Specifically, SLNET is 8 times larger than the largest previous corpus of Simulink models, includes fine-grained metadata, is constructed automatically, is self-contained, and allows redistribution. SLNET is available under permissive open-source licenses and contains all of its collection and analysis tools.
