Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/53635

TítuloExercise generation on language specification
Autor(es)Almeida, J. J.
Grande, Eliana
Smirnov, Georgi
Data2017
EditoraSpringer Verlag
RevistaAdvances in Intelligent Systems and Computing
Resumo(s)Exercise generation on language specification is a challenging problem, because of the richness of the objects in the domain. In this paper we discuss Mgbeg (Meta-Grammar-Based Exercise Generator) a toolkit for exercise generation on context-free languages. Mgbeg approach is based on a meta-grammar formalism and tool, used to define a set of similar exercises. Mgbeg is simple attributed grammar used to describe the set of valid exercise (and randomly generate one of them). Each exercise typically contains several attributes calculated during the generation steps: namely, one or more formal specification of the language (context free grammar); the exercise statement; other information such as examples, common mistakes, validation data, to be used in the construction of the exercise statement, solution, and assessment steps. Complementary the toolkit provides a grammar module, with functionality for grammar comparison, sentence generation and recognition; a template engine (to help in textual attributes calculation).
TipoArtigo em ata de conferência
URIhttps://hdl.handle.net/1822/53635
ISBN9783319565347
DOI10.1007/978-3-319-56535-4_28
ISSN2194-5357
Arbitragem científicayes
AcessoAcesso aberto
Aparece nas coleções:CAlg - Artigos em revistas internacionais / Papers in international journals

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