dc.contributorMariza Andrade da Silva Bigonha
dc.contributorRoberto da Silva Bigonha
dc.contributorMarcelo de Almeida Maia
dc.contributorVladimir Oliveira Di Iorio
dc.creatorKristian Magnani dos Santos
dc.date.accessioned2019-08-13T08:59:36Z
dc.date.accessioned2022-10-03T23:24:25Z
dc.date.available2019-08-13T08:59:36Z
dc.date.available2022-10-03T23:24:25Z
dc.date.created2019-08-13T08:59:36Z
dc.date.issued2006-03-23
dc.identifierhttp://hdl.handle.net/1843/RVMR-6QGRKL
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/3822056
dc.description.abstractThe Abstract State Machines methodology oers a powerful, easy-to-use mechanism to formally specify the semantics of algorithms. The k`ar framework adds to it optimization capability, allowing the transformation of ASM specications into ecient programs, which isimportant in order to use the specications as realistic programs. Moreover, the optimizations are modules to be plugged-in on the y, so that independent developers can build their own optimizations without concerning about the internal details of the k`ar framework. Finally,the wide set of constructions of the language understood by the framework allows its use as a target for compilers aiming the ASM methodology.
dc.publisherUniversidade Federal de Minas Gerais
dc.publisherUFMG
dc.rightsAcesso Aberto
dc.subjectmáquinas de estado abstratas
dc.subjectarcabouço
dc.titleUm arcabouço para otimizações em máquinas de estado abstratas
dc.typeDissertação de Mestrado


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