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Evaluating knowledge representations for program characterization

Knowledge representation attempts to organize the knowledge of a context in order for automated systems to utilize it to solve complex problems. Among several difficult problems, one worth mentioning is called code-generation, which is undecidable due to its complexity. A technique to mitigate this...

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Principais autores:	Fabrício Filho, João, Rodriguez, Luis Gustavo Araujo, Silva, Anderson Faustino da
Formato:	Trabalho Apresentado em Evento
Idioma:	Inglês
Publicado em:	Campo Mourao 2017
Assuntos:	Representação do conhecimento (Teoria da informação) Compiladores (Programas de computador) Processamento eletrônico de dados Knowledge representation (Information theory) Compilers (Computer programs) Electronic data processing CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO
Acesso em linha:	http://repositorio.utfpr.edu.br/jspui/handle/1/2788 http://dx.doi.org/10.5220/0006333605820590
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spelling	riut-1-27882017-12-18T20:16:14Z Evaluating knowledge representations for program characterization Fabrício Filho, João Rodriguez, Luis Gustavo Araujo Silva, Anderson Faustino da Representação do conhecimento (Teoria da informação) Compiladores (Programas de computador) Processamento eletrônico de dados Knowledge representation (Information theory) Compilers (Computer programs) Electronic data processing CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO Knowledge representation attempts to organize the knowledge of a context in order for automated systems to utilize it to solve complex problems. Among several difficult problems, one worth mentioning is called code-generation, which is undecidable due to its complexity. A technique to mitigate this problem is to represent the knowledge and use an automatic reasoning system to infer an acceptable solution. This article evaluates knowledge representations for program characterization for the context of code-generation systems. The experimental results prove that program Numerical Features as knowledge representation can achieve 85% near to the best possible results. Furthermore, such results demonstrate that an automatic code-generating system, which uses this knowledge representation is capable to obtain performance better than others codegenerating systems. 2017-12-18T20:16:04Z 2017-12-18T20:16:04Z 2017-04 conferenceObject FABRÍCIO FILHO, João; RODRIGUEZ, Luis Gustavo Araujo; SILVA, Anderson Faustino da. Evaluating knowledge representations for program characterization. In: INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS, 19., 2017, Porto, Portugal. Anais eletrônicos… Porto, Portugal: SCITEPRESS, 2017. Disponível em: <http://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220/0006333605820590>. Acesso em: 23 ago. 2017. http://repositorio.utfpr.edu.br/jspui/handle/1/2788 http://dx.doi.org/10.5220/0006333605820590 eng International Conference on Enterprise Information Systems http://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220/0006333605820590 openAccess The Author retains the rights to publish the contribution in his/her own website or in his/her employer’s website, as long as it is clearly stated in which publication or event it was originally published in and a link to the original publication or event is made. Disponível em: <http://www.insticc.org/portal/Publications/AuthorResources/Copyright.aspx>. Acesso em: 17 set. 2017. application/pdf Campo Mourao Portugal
institution	Universidade Tecnológica Federal do Paraná
collection	RIUT
language	Inglês
topic	Representação do conhecimento (Teoria da informação) Compiladores (Programas de computador) Processamento eletrônico de dados Knowledge representation (Information theory) Compilers (Computer programs) Electronic data processing CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO
spellingShingle	Representação do conhecimento (Teoria da informação) Compiladores (Programas de computador) Processamento eletrônico de dados Knowledge representation (Information theory) Compilers (Computer programs) Electronic data processing CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO Fabrício Filho, João Rodriguez, Luis Gustavo Araujo Silva, Anderson Faustino da Evaluating knowledge representations for program characterization
description	Knowledge representation attempts to organize the knowledge of a context in order for automated systems to utilize it to solve complex problems. Among several difficult problems, one worth mentioning is called code-generation, which is undecidable due to its complexity. A technique to mitigate this problem is to represent the knowledge and use an automatic reasoning system to infer an acceptable solution. This article evaluates knowledge representations for program characterization for the context of code-generation systems. The experimental results prove that program Numerical Features as knowledge representation can achieve 85% near to the best possible results. Furthermore, such results demonstrate that an automatic code-generating system, which uses this knowledge representation is capable to obtain performance better than others codegenerating systems.
format	Trabalho Apresentado em Evento
author	Fabrício Filho, João Rodriguez, Luis Gustavo Araujo Silva, Anderson Faustino da
author_sort	Fabrício Filho, João
title	Evaluating knowledge representations for program characterization
title_short	Evaluating knowledge representations for program characterization
title_full	Evaluating knowledge representations for program characterization
title_fullStr	Evaluating knowledge representations for program characterization
title_full_unstemmed	Evaluating knowledge representations for program characterization
title_sort	evaluating knowledge representations for program characterization
publisher	Campo Mourao
publishDate	2017
citation	FABRÍCIO FILHO, João; RODRIGUEZ, Luis Gustavo Araujo; SILVA, Anderson Faustino da. Evaluating knowledge representations for program characterization. In: INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS, 19., 2017, Porto, Portugal. Anais eletrônicos… Porto, Portugal: SCITEPRESS, 2017. Disponível em: <http://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220/0006333605820590>. Acesso em: 23 ago. 2017.
url	http://repositorio.utfpr.edu.br/jspui/handle/1/2788 http://dx.doi.org/10.5220/0006333605820590
_version_	1805319284279214080
score	10,814766

Evaluating knowledge representations for program characterization

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