Impacto da automação de testes e integração contínua no processo de garantia da qualidade do sistema Studyllab

Abstract

To ensure software quality, testing plays an important role throughout the software development life cycle, as it enables the identification of defects before the software is deployed to production. However, increasing pressure for rapid delivery has reduced the time allocated to testing, leading many teams to rely on manual processes, making them more susceptible to human error. In this context, this work presented a study on the impact of test automation and continuous integration on the quality assurance process of the StudyLLab system (Knowledge Base for University Study and Learning). The research adopted an experimental approach, with a predominance of quantitative analysis supported by qualitative aspects, comparing manual and automated testing scenarios through metrics such as execution time, fault detection, functional coverage, execution repeatability, and technical feasibility. For this purpose, representative regression test cases covering the main accessible functional flows of the system were considered, distributed across the authentication, users, subjects, topics, and content modules, and executed in both scenarios according to the scope defined in the study. The results showed that test automation, combined with continuous integration, contributed to reducing manual effort, expanding functional coverage, and enabling recurring test execution. Thus, the study provided evidence to assess the technical feasibility of test automation and its impact on improving the quality assurance process of the analyzed system, contributing to the understanding of the benefits of adopting these practices in systems of a similar nature.