{ "@context": "https:\/\/doi.org\/10.5063\/schema\/codemeta-2.0", "@type": "SoftwareSourceCode", "codeRepository": "https:\/\/github.com\/hepsycode\/SLIDE-x", "funder": { "@type": "Organization", "funding": "AIDOaRt grant agreement No. 10100735, MATISSE grant agreement No. 101140216" }, "author": [ { "@type": "Person", "affiliation": { "@type": "Organization", "name": "Department of Political Science, University of Teramo, Italy" }, "@id": "https:\/\/orcid.org\/0000-0002-2220-8326", "email": "vmuttillo@unite.it", "familyName": "Muttillo", "givenName": "Vittoriano" }, { "@type": "Person", "affiliation": { "@type": "Organization", "name": "Vrije Universiteit Amsterdam, The Netherlands" }, "@id": "https:\/\/orcid.org\/0000-0002-3681-372X", "email": "v.stoico@vu.nl", "familyName": "Stoico", "givenName": "Vincenzo" } ], "name": "SLIDE-x (System-Level Infrastructure for HW\/SW Dataset E-xtraction)", "dateCreated": "2025-02-12", "softwareVersion": "1.0", "keywords": [ "System-Level HW\/SW Co-Design", "Embedded Systems", "Cyber-Physical Systems", "Dataset Generation", "Data Analysis", "Performance Evaluation" ], "description": "SLIDE-x is an open-source Python tool that facilitates the System-Level HW\/SW Co-Design of embedded systems and Cyber-Physical Systems (CPSs) through the creation of datasets useful for analysis, comparison, and simulations\/predictions. These datasets can be used to evaluate HW\/SW performance, select the most suitable embedded platform, and perform HW\/SW trade-off analysis.", "programmingLanguage": [ "Python", "C", "Assembly", "VHDL" ], "developmentStatus": "Active", "license": "https:\/\/spdx.org\/licenses\/Apache-2.0.html", "identifier": "https:\/\/archive.softwareheritage.org\/swh:1:rev:0907cf39f7d023d0dc2e8307e1ffef6115d0377a;origin=https:\/\/github.com\/hepsycode\/SLIDE-x;visit=swh:1:snp:d73c612114afc6dff6a86a042fa006576440f5ec", "datePublished": "2025-02-27" }
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