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