Ambiente computacional para suporte a “Reproducible Research”

• Ano de defesa: 2013
• Autor(a) principal: Pinheiro, Rodrigo de Lima
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de Alagoas; Brasil; Programa de Pós-Graduação em Modelagem Computacional de Conhecimento; UFAL
• Palavras-chave em Português: Reproducible Research; Software FLOSS; Pesquisa Computacional Quantitativa; CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO
• Link de acesso: http://www.repositorio.ufal.br/handle/riufal/3200

Reproducible Research (RR) defines good practices in scientific research methodology to be applied in special to quantitative computational research. Several prestigious international journals adopt or require the compliance of these practices. However, the full compliance of RR premises implies in extra workload. Such fact seriously compromises its adoption, then it is preferable the usage of computer tools that will minimize this efforts. In order to ensure that the RR practices are transparently applied to papers of quantitative computational research, this paper presents: the modeling, proposal and the development of a computational environment that was developed by the integration of Free/Libre and Open-Source Software (FLOSS) tools. Such computing environment has been implemented based on the intersection of the result of three work fronts: study of the main practices of Reproducible Research, analysis of computational solutions to support RR specifically to computer sciences; survey and FLOSS software integration for sustainable support to this initiative.