Modelagem de software de tempo real utilizando o profile MARTE da UML

Object-oriented methods and languages have been widely applied in activities of modeling and design of real-time systems. Among all object-oriented notations, UML is the most used one. Despite the many well-known issues both in theory and practice, such as lack of concepts to represent time constrai...

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Detalles Bibliográficos
Autor: Silvestre, Eduardo Augusto
Tipo de recurso: tesis de maestría
Estado:Versión publicada
Fecha de publicación:2012
País:Brasil
Institución:Universidade Federal de Uberlândia (UFU)
Repositorio:Repositório Institucional da UFU
Idioma:portugués
OAI Identifier:oai:repositorio.ufu.br:123456789/12524
Acceso en línea:https://repositorio.ufu.br/handle/123456789/12524
https://doi.org/10.14393/ufu.di.2012.225
Access Level:acceso abierto
Palabra clave:Marte
UML
Arquitetura de software
Sistemas distribuídos
Sistemas de tempo real
Controle de sinais de tráfego
UML (Linguagem de modelagem padrão)
Software - Arquitetura
Software architecture
Real-time systems
Distributed systems
Road traffic signals conrol
CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO
Descripción
Sumario:Object-oriented methods and languages have been widely applied in activities of modeling and design of real-time systems. Among all object-oriented notations, UML is the most used one. Despite the many well-known issues both in theory and practice, such as lack of concepts to represent time constraints and resource allocation, UML has been frequently applied to this domain. The MARTE profile was proposed in order to solve these issues. In this work the MARTE profile is applied together with UML to modeling a software for traffic signals control in order to analyze the pros and cons of using this recent OMG profile. The MARTE profile is compared with UML and SPT (a former MARTE profile). The result is that with MARTE the models are more specific and expressive, but are also more complex. In addition, mastering the MARTE language is a hard challenge. Researches and industrial applications are still required to achieve better conclusions on the use of MARTE.