Geração de pontos de casos de uso no ambiente Cocar

• Ano de defesa: 2007
• Autor(a) principal: Martins, Marcos Danilo Chiodi
• Orientador(a): Fabbri, Sandra Camargo Pinto Ferraz
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal de São Carlos
• Programa de Pós-Graduação: Programa de Pós-Graduação em Ciência da Computação - PPGCC
• País: BR
• Palavras-chave em Português: Métricas de software; Pontos de casos de uso; Modelo de casos de uso; Software desenvolvimento
• Área do conhecimento CNPq: CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO
• Link de acesso: https://repositorio.ufscar.br/handle/20.500.14289/368

The objective of this paper was to implement an initial version of a development support environment named COCAR based on the Use Case Model. Even though the conception and some features of this environment are the outcome of several other master papers, this work emphasises the relevance of the Use Case Point metric (PCU). This metric strengthens the usage of estimates which are of fundamental importance for the calculation of a system development time. Furthermore, such a metric is associated to one of the main drivers of a software product quality, which is the ability to meet delivery time. With the advent of the object oriented development paradigm, the Use Case Point metric based on the Use Case Model has been highlighted. However, given the lack of formality and standardization, specifying and building these models a PCU metric may be jeopardized. In the scope of this work, there have been relevant contributions to building such an environment implementing a technique called TUCCA which helps with the model standardization, a functionality that supports the insertion of system requirements in the environment and the generation of PCU as in the model generated by TUCCA application. In the assessment process of the COCAR environment an informal case study, in which a specification of actual software from a development company, has been carried out, producing Use Case Models, PCU s and effort estimates, both compared against the industry benchmarks. The results of this research showed that for this particular situation the output from the COCAR environment were very close to those defined by the industry.