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SLNET: A Redistributable Corpus of 3rd-party Simulink Models

<p>MSR 2022 Data and Tool Showcase Track (https://conf.researchr.org/track/msr-2022/msr-2022-data-showcase)</p> <p>SLNET is collection of third party Simulink models. It is curated via mining open source repository (GitHub and Matlab Central) using SLNET-Miner (https://github.com/50417/SLNet_Miner)</p> <p>Paper:&nbsp;https://ranger.uta.edu/~csallner/papers/Shrestha22SLNET.pdf</p> <p>The metrics are collected using https://github.com/50417/SLNET_Metrics</p> <p>v2.0: Added database schema&nbsp;</p> <p>Note: SRC_block_type tables houses &quot;block type&quot; and its count per model. For many blocktypes such as MATLAB Function (which are actually built using a Subsystem), Simulink&#39;s get_param API returns block type as &quot;Subsystem&quot; instead of MATLAB Function. Thus,&nbsp;&quot;Subsystem&quot; block type include counts both from user created ones and library blocks (which are implemented using Subsystem). Thus To get a precise number for user created Subsystem, refer to &quot;Agg_subsystem_count&quot; in SRC_metric table.&nbsp;&nbsp;</p>

ShareScore

44/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
20
Reuse readiness
8
Engagement
4

Topics