Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/68521

TítuloValidating multiple variants of an automotive light system with electrum
Autor(es)Cunha, Alcino
Macedo, Nuno
Liu, Chong
Data2020
EditoraSpringer
RevistaLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Resumo(s)This paper reports on the development and validation of a formal model for an automotive adaptive exterior lights system (ELS) with multiple variants in Electrum, a lightweight formal specification language that extends Alloy with mutable relations and temporal logic. We explore different strategies to address variability, one in pure Electrum and another through an annotative language extension. We then show how Electrum and its Analyzer can be used to validate systems of this nature, namely by checking that the reference scenarios are admissible, and to automatically verify whether the established requirements hold. A prototype was developed to translate the provided validation sequences into Electrum and back to further automate the validation process. The resulting ELS model was validated against the provided validation sequences and verified for most of requirements for all variants.
TipoArtigo em ata de conferência
DescriçãoAll resources relevant for the ELS case study are available at: https://github.com/haslab/Electrum2/wiki/ELS.
URIhttps://hdl.handle.net/1822/68521
ISBN9783030480769
DOI10.1007/978-3-030-48077-6_26
ISSN0302-9743
Versão da editorahttps://link.springer.com/chapter/10.1007%2F978-3-030-48077-6_26
Arbitragem científicayes
AcessoAcesso aberto
Aparece nas coleções:HASLab - Artigos em atas de conferências internacionais (texto completo)

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