Bacharelado em Ciência da Computação (Sede)
URI permanente desta comunidadehttps://arandu.ufrpe.br/handle/123456789/6
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APP - Artigo Publicado em Periódico
TAE - Trabalho Apresentado em Evento
TCC - Trabalho de Conclusão de Curso
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Resultados da Pesquisa
Item Geração automática de sistemas backend com o suporte de IA generativa seguindo a arquitetura limpa(2024-03-06) Costa, Henrique Sabino da; Burégio, Vanilson André de Arruda; http://lattes.cnpq.br/3518416272921878; http://lattes.cnpq.br/5381537544189009In this work, we investigated the potential contribution of automatic code synthesis technologies, particularly OpenAI’s GPT-4, to the maintenance and adherence to best practices in software architecture in startups. Given the characteristic of these companies to operate in environments of rapid change and innovation, but with limited resources, practices such as unit testing and documentation are often neglected. Conversely, we emphasize the importance of such practices for their contribution to the maintainability and scalability of applications. As a means to reconcile the fast pace of development with the need for good practices, we proposed the use of generative language models (GLM), specifically GPT-4, for code generation following the principles of clean architecture, a set of concepts defined by Robert C. Martin for developing scalable and maintainable projects. The methodological approach was a combination of qualitative and quantitative analysis, focused on the exploration and adaptation of prompts for code generation and the development of practical exemplifications in various programming languages. Notably, three projects in C#, JavaScript, and Python were produced, which were evaluated according to metrics of abstraction, instability, and adherence to the Main Sequence - key concepts in maintaining clean architecture. The results indicated that, despite the potential of the proposed technology to accelerate development and promote adherence to good practices through automation, there are significant gaps in GPT-4 ability to generate code fully aligned with clean architecture and executable without manual intervention. Problems related to inconsistency in the project structure and the integrity of the generated code were observed, suggesting that, while the tool offers a promising foundation for enhancing efficiency in less complex projects, its applicability in complex and diverse contexts still presents challenges. Therefore, it is concluded that the use of GLMs like GPT-4 in the automatic generation of code represents a valuable auxiliary tool for startups in software development. However, the need for manual adjustments in the code and the assurance of full adherence to recommended software architecture practices reinforce the idea that such technologies should be seen as complementary to human work and not as complete substitutes. For future work, it is recommended to deepen the investigation of GLMs specialized in code generation and to expand the experiments to encompass a wider range of programming languages and frameworks, aiming to maximize the applicability and effectiveness of this innovative approach.Item Refatoração de arquiteturas monolíticas em microserviços no contexto de desenvolvimento de software global(2019) Gomes, Thiago Henrique Ferreira; Marinho, Marcelo Luiz Monteiro; http://lattes.cnpq.br/3362360567612060; http://lattes.cnpq.br/2527989443347018In the past few years, the Global Software Development has been adopted by many companies, way as they can benefit from the advantages linked to the use of this practice, from the reduction of costs and time to market. However, this technique brings many challenges to the teams who use it. With this work, we aim to map the strategies of refactoring applications aligned with the architectural characteristics demanded bythe distributed software development environment. For this, we used the benefits de-riving from using a modern software architecture, the microservices architecture. We also analyze what kind of practices we could apply to evolve the current applications that use an old architecture, the monolithic architecture, to this architecture based on microservices. We conduct two systematic mappings, to analyze the state-of-art of soft-ware architecture on the Global Software Development environment and refactoring of monolithic to microservices applications, respectively. By the end, we execute an analysis to identify the practices of refactoring, and the benefits of using the microservices architecture can contribute to the success of a project on the GSD environment. Withthis, we were able to conclude that all the practices found during this work have positive impacts inside of the GSD environment, and we relate to the necessities of the GSD environment with the offered benefits by using the microservice architectureItem Aplicação do processo de design no desenvolvimento de um produto de software para suporte à inovação social(2018) Santos, Juliana Ferreira dos; Souza, Ricardo André Cavalcante de; http://lattes.cnpq.br/7101881357139219; http://lattes.cnpq.br/8780029383567585Innovation can be described as a good Idea of solving a relevant problem implemented. Social Innovation is na innovation that at the same time meets a social need and creates new relationships or social collaborations. Social innovations of high impact and high scalability are generally aided by ICT(InformationandCommunicationTechnology).In thiscontext,this work presents the application of the Design Process for the inception, design and implementation of a software product to support Social Innovation. To do so, it was necessary to align the Design Process with a Social Innovation Model. The social innovation treated in this work consists in fomenting a social network of rainfall (Rainwater measurement) to support several áreas (agriculture, livestock, mobility, etc.) that use climatologic information in decision making. The developed software product maintains the Record and visualization of the pluviometric information shared by the people and consists of the first implemented capacity of a Time and Weather Collaboration Network.