MADAE-IDE: Um ambiente de desenvolvimento de software baseado no conhecimento para o reuso composicional no desenvolvimento de sistemas multiagente

• Ano de defesa: 2009
• Autor(a) principal: Cavalcante, Uiratan Alves de Sousa
• Orientador(a): GIRARDI, Rosario
• Banca de defesa: Abdelouahab, Zair
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal do Maranhão
• Programa de Pós-Graduação: PROGRAMA DE PÓS-GRADUAÇÃO EM ENGENHARIA DE ELETRICIDADE/CCET
• Departamento: Engenharia
• País: BR
• Palavras-chave em Português: Ambiente de desenvolvimento de software; Sistemas multiagente; Ontologias; Sistemas baseados em conhecimento; Engenharia de software; Engenharia de conhecimento
• Palavras-chave em Inglês: Software development environments; Multi-Agent systems; Ontologies; Knowledge-based systems; Software engineering; Knowledge engineering
• Área do conhecimento CNPq: CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO::METODOLOGIA E TECNICAS DA COMPUTACAO::ENGENHARIA DE SOFTWARE
• Link de acesso: http://tedebc.ufma.br:8080/jspui/handle/tede/424

The agent-oriented development paradigm has achieved a high maturity level over the last decade. However, integrated development environments supporting all phases of agent-oriented development are still missing. MADAE-Pro is a process for the development and reuse of family of multi-agent systems and integrates two complementary process. One is based on Domain Engineering concepts, aiming in creating artifacts of reusable software in the development of an application family in a particular domain problem, and the other is based on Application Engineering, which guides the construction of applications based on reusable software artifacts previously produced in the Domain Engineering process. The environment includes the ONTORMAS ontology and, through inference rules and semantic search over its instances, automates the modeling tasks of the MADAE-Pro process. These features allow for the developer productivity gains and for maintaining the consistence of the knowledge-base, ensuring the success of the reuse in future applications.