Avaliação de desempenho de equipes de projetos de desenvolvimento de software através de modelos probabilísticos

• Ano de defesa: 2016
• Autor(a) principal: Gomes, Marcelo Vasconcellos
• Orientador(a): Fernandes, Paulo Henrique Lemelle
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Pontifícia Universidade Católica do Rio Grande do Sul
• Programa de Pós-Graduação: Programa de Pós-Graduação em Ciência da Computação
• Departamento: Faculdade de Informática
• País: Brasil
• Palavras-chave em Português: ENGENHARIA DE SOFTWARE; AVALIAÇÃO DE DESEMPENHO (INFORMÁTICA); ADMINISTRAÇÃO DE PROJETOS; REDES DE AUTÔMATOS ESTOCÁSTICOS; INFORMÁTICA
• Área do conhecimento CNPq: CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO
• Link de acesso: http://tede2.pucrs.br/tede2/handle/tede/6967

This study presents a method to evaluate the performance of teams of software development projects using Stochastic Automata Networks. For the application of this method, a ’Performance Evaluation’ tool was created. This tool can be used by Project Managers and Metrics Analysts to simulate scenarios of execution in the projects. According to the present performance of the project team, the Project Manager can foresee the necessary effort to accomplish the project, probable date for its conclusion and its total cost.Through the result of this simulation, the Project Manager will be able to take the necessary actions to mitigate the impact in the project deadlines and cost. Furthermore, the Metrics Analyst can validate the best productivity to be used in the project. The tool has a great potential to be used together with good project management practices described in the PMBoK Guide. The study describes all the processes of the PMBoK with focus in the group of monitoring and control processes and how the Performance Evaluation tool can contribute to the project management. The study also presents related works where Stochastic Automata Networks can contribute significantly to Software Engineering area. The study also presents the evaluation of two scenarios that were created in the tool using real data of two projects and in the end a comparison was made between the real data and the simulation results. Finally, improvements and suggestions are presented for future implementations in the ’Performance Evaluation’ tool.