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: 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 </p> <p>Note: SRC_block_type tables houses "block type" and its count per model. For many blocktypes such as MATLAB Function (which are actually built using a Subsystem), Simulink's get_param API returns block type as "Subsystem" instead of MATLAB Function. Thus, "Subsystem" 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 "Agg_subsystem_count" in SRC_metric table. </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