An expressive and enriched specification language to synthezise behavior in BIG DATA systems

dc.contributor.author Asteasuain, Fernando
dc.contributor.author Rodríguez Caldeira, Luciana
dc.date.accessioned 2022-11-23T11:48:32Z
dc.date.available 2022-11-23T11:48:32Z
dc.date.issued 2021
dc.description.abstract In this work we extend our behavioral speci_cation and controller synthesis framework FVS to deal with BIG DATA requirements. For one side, we enriched FVS expressive power by exhibiting how our language can handle uents and partial speci_cations. For the other side, we combined FVS with a parallel model checker in order to automatically obtain a controller given the behavior speci_cation. In this way, FVS can be presented as an attractive tool to formally verify and synthesize behavior for BIG DATA systems. Our approach is compared to other well known parallel tool analyzing a complex big data system.
dc.identifier.citation Asteasuain, F.; Rodríguez Caldeira, L. (2021). An expressive and enriched specification language to synthezise behavior in BIG DATA systems. En: Congreso Argentino de Ciencias de la Computación, CACIC. 27. 4-8 oct 2021. Actas. Salta : Universidad Nacional de Salta. p.:357-366
dc.identifier.uri https://repositorio.uai.edu.ar/handle/123456789/536
dc.language.iso en
dc.publisher Universidad Nacional de Salta
dc.subject formal verification
dc.subject BIG DATA
dc.subject parallel model checkers
dc.title An expressive and enriched specification language to synthezise behavior in BIG DATA systems
dc.type DOCUMENTOCONF
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