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

Authors: Sohil;

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

Abstract

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) The metrics are collected using https://github.com/50417/SLNET_Metrics v1.1.1: Fixed issue with number of duplicates project in SLNET_duplicates's potential_duplicates_list.csv Note: SRC_blocks 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.

Removes potential duplicate projects from the dataset

Keywords

MATLAB, Simulink, Cyber physical systems

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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
0
Average
Average
Average
28
1