Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/68518

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dc.contributor.authorBrunel, Julienpor
dc.contributor.authorChemouil, Davidpor
dc.contributor.authorCunha, Alcinopor
dc.contributor.authorHujsa, Thomaspor
dc.contributor.authorMacedo, Nunopor
dc.contributor.authorTawa, Jeannepor
dc.date.accessioned2020-12-11T17:10:08Z-
dc.date.available2020-12-11T17:10:08Z-
dc.date.issued2018-
dc.identifier.isbn9783319912707por
dc.identifier.issn0302-9743-
dc.identifier.urihttps://hdl.handle.net/1822/68518-
dc.description.abstractElectrum is an extension of Alloy that adds (1) mutable signatures and fields to the modeling layer; and (2) connectives from linear temporal logic (with past) and primed variables à la TLA+ to the constraint language. The analysis of models can then be translated into a SAT-based bounded model-checking problem, or to an LTL-based unbounded model-checking problem. Electrum has proved to be useful to model and verify dynamic systems with rich configurations. However, when specifying events, the tedious and sometimes error-prone handling of traces and frame conditions (similarly as in Alloy) remained necessary. In this paper, we introduce an extension of Electrum with a so-called “action” layer that addresses these questions.por
dc.description.sponsorshipThis work is financed by the ERDF - European Regional Development Fund - through the Operational Programme for Competitiveness and Internationalisation - COMPETE 2020 - and by National Funds through the Portuguese funding agency, FCT - Fundação para a Ciência e a Tecnologia, within project POCI-01-0145-FEDER016826, and the French Research Agency project FORMEDICIS ANR-16-CE25-0007por
dc.language.isoengpor
dc.publisherSpringer Verlagpor
dc.rightsopenAccesspor
dc.titleProposition of an action layer for electrumpor
dc.typeconferencePaperpor
dc.peerreviewedyespor
dc.relation.publisherversionhttps://link.springer.com/chapter/10.1007%2F978-3-319-91271-4_30por
oaire.citationStartPage397por
oaire.citationEndPage402por
oaire.citationVolume10817 LNCSpor
dc.date.updated2020-12-11T15:24:23Z-
dc.identifier.doi10.1007/978-3-319-91271-4_30por
dc.subject.fosEngenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informáticapor
sdum.export.identifier7590-
sdum.journalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)por
oaire.versionAMpor
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