Diretrizes para avaliação de modelos de sistemas multiagentes: uma proposta baseada em métricas

• Autor(a) principal: Arcoverde, Lidiane Damasceno Monteiro
• Data de Publicação: 2018
• Tipo de documento: Dissertação
• Idioma: por
• Título da fonte: Biblioteca Digital de Teses e Dissertações da UERJ
• Texto Completo: http://www.bdtd.uerj.br/handle/1/7725
• topic: Multiagent systems model; Evaluation; Quality assurance; Metrics; Modelo de sistemas multiagentes; Avaliação; Garantia de qualidade; Métrica; Sistemas multiagentes; Software - Desenvolvimento; CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO

The use of Multiagent Systems (MAS) has been increasing over the years due to their capacity of dealing with problems in a variety of domains. The modeling of such systems is not trivial: besides the knowledge and skills on agent-oriented software engineering and a basic understanding of the target domain to be modeled, it demands familiarity with agent-oriented modeling methodologies. This is not always the case, though, especially for newcomers in the field. This work proposes a set of guidelines in the form of a questionnaire for the evaluation of MAS models, aiming at supporting the verification of their quality. The questionnaire is built upon the results of a systematic mapping conducted to identify how MAS models have been evaluated and what metrics have been used. The proposed guidelines were evaluated through (i) a peer review by experts in MAS and Software Quality and (ii) its actual application by graduate students applying modeling methodologies in the context of Guardian Angel (GA), a patient-centered health system that automatically supports patients suffering from chronical diseases. Participants provided an overall positive feedback and proposed some improvements on the questionnaire, most of which were promptly incorporated