Codice-Unio: uma abordagem integrada de métodos para detecção e inserção de padrões de projeto em código-fonte usando agentes

• Ano de defesa: 2020
• Autor(a) principal: Pacher, Thyago Henrique
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Tecnológica Federal do Paraná; Ponta Grossa; Brasil; Programa de Pós-Graduação em Ciência da Computação; UTFPR
• Palavras-chave em Português: Agentes inteligentes (Software); Software - Refatoração; Padrões de software; Projeto de sistemas; Intelligent agents (Computer software); Software refactoring; Software patterns; System design; CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO; Engenharia/Tecnologia/Gestão
• Link de acesso: http://repositorio.utfpr.edu.br/jspui/handle/1/5229

The refactoring process guarantees a higher quality in the source code, increasing its maintainability, readability and flexibility. According to the literature about 70% of the cost of the software is for maintenance and this can be reduced using techniques that allow to increase the quality of the source code such as refactoring based on design standards. It was found through a systematic mapping that the works in the literature for the detection and insertion of design patterns are not carried out autonomously. This work created the Codice-Unio approach to detect insertion points and apply design patterns with agents using the Belief-Desire-Intention (BDI) architecture. The approach contemplates in the same environment three methods from the literature capable of detecting and applying design patterns in source code written in Java language. In order to compare the refactoring process before and after the application of the design standard, the assessment of metrics related to quality attributes such as maintainability, reusability and readability was contemplated in the approach. CodiceUnio was implemented in an agent framework that supports the BDI architecture and used specific tools for reading code and evaluating quality attributes. The approach was evaluated using test scenarios provided by the literature methods and later by open-source projects found on the web via GitHub. As a result, Codice-Unio is able to automatically identify and apply design patterns in candidate classes in approximately 97% of the projects that have undergone the experiment.