dc.contributorRoberto da Silva Bigonha
dc.contributorVladimir Oliveira Di Iorio
dc.contributorVladimir Oliveira Di Iorio
dc.contributorFernando Magno Quintao Pereira
dc.contributorMariza Andrade da Silva Bigonha
dc.contributorMartin Alejandro Musicante
dc.contributorRoberto ierusalimchy
dc.creatorLeonardo Vieira dos Santos Reis
dc.date.accessioned2019-08-14T10:22:20Z
dc.date.accessioned2022-10-03T22:21:06Z
dc.date.available2019-08-14T10:22:20Z
dc.date.available2022-10-03T22:21:06Z
dc.date.created2019-08-14T10:22:20Z
dc.date.issued2014-11-17
dc.identifierhttp://hdl.handle.net/1843/ESBF-9TELDQ
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/3800006
dc.description.abstractParser generators have been used for more than 50 years. Tools like YACC can automatically build a parser from a formal definition of the syntax of a language, usually based on context-free grammars (CFG). The main motivation for automatic parser generation is compiler correctness and recognition completeness, since with manual implementation it is very difficult to guarantee that all programs in a given language will be correctly analysed. Despite the advantagens mentioned above, the technology of automatic parser generation is still not available for languages that allow on-the-fly modifications on their own set of grammar rules. There is a lack of appropriate formal models for describing the syntax of these languages, therefore efficient parsers may not be automatically generated, requiring handwritting code.In this thesis, we present the design and formal definition of Adaptable Parsing Expression Grammars (APEG), an extension to the Parsing Expression Grammar (PEG) model that allows the modification of production rules during the analysis of an input string. We also show that APEG is capable to define languages that require on-the-fly modifications and allows automatic generation of parsers that are reasonably efficient to be used in practice.
dc.publisherUniversidade Federal de Minas Gerais
dc.publisherUFMG
dc.rightsAcesso Aberto
dc.subjectGramáticas adaptáveis
dc.subjectPEG
dc.subjectAnálise sintática
dc.subjectSinaxe
dc.subjectAPEG
dc.titleAdaptable parsing expression grammars
dc.typeTese de Doutorado


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