Acoplamentos fortes em ferramenta de análises estatísticas acoplada a bancos de dados diversos

• Autor(a) principal: Chiaradia, Diego de Lacerda
• Data de Publicação: 2022
• Tipo de documento: Trabalho de conclusão de curso
• Idioma: por
• Título da fonte: Repositório Institucional da UNESP
• Texto Completo: http://hdl.handle.net/11449/216252
• topic: Coupling; Statistic; Database; Acoplamento; Estatística; Banco de dados

In seeking the intrinsic strengths of the statistical analysis and data storage areas, the foundation of the coupling of statistical software to database software was built. Software coupling stands for the measurement of dependency between integrated software. In general, the goal of coupling is to have loose couplings, so that there is none or little dependency between the software, so that systems can have a reuse between different types of software. However, a strong coupling has superior performance in relation to a loose coupling. Thus, this work proposes the analysis of a statistical analysis software coupled to database, with different coupling levels to validate the performance gain of the strongly coupled system in relation to configurations with a lower degree of coupling. Therefore, the system was developed and tested with different degrees of component coupling, using an HTTP request architecture to perform the connection between components when decoupled. The results obtained from the test show that the system had a great improvement in its performance tightly coupling the components, however, when removing an average time used by HTTP requests, this performance gain became low for the amount of validated data.