Document Type
Article
Abstract
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 finegrained metadata, is constructed automatically, is self-contained, and allows redistribution. SLNET is available under permissive open-source licenses and contains its collection and analysis tools.
Publication Date
10-17-2022
Language
English
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Recommended Citation
Shrestha, Sohil Lal; Chowdhury, Shafiul Azam; and Csallner, Christoph, "SLNET: a redistributable corpus of 3rd-party simulink models" (2022). Association of Computing Machinery Open Access Agreement Publications. 28.
https://mavmatrix.uta.edu/utalibraries_acmoapubs/28