https://repositorio.ufpb.br/jspui/handle/123456789/2397 Mon, 06 Apr 2026 23:39:29 GMT 2026-04-06T23:39:29Z https://repositorio.ufpb.br/jspui/handle/123456789/35363 Título: Análise Comparativa de Controladores SDN: Uma Avaliação com Base em Desempenho, Escalabilidade e Facilidade de Uso Autor(es): Brito, Yooh Bezerra de Orientador: Bezerra, Ed Porto Abstract: The proposed undergraduate thesis, titled "Comparative Analysis of SDN Controllers: An Assessment Based on Performance, Scalability, and Ease of Use," aims to explore and compare three prominent SDN controllers: OpenDaylight, Floodlight, and Ryu. Grounded in Software Defined Networking (SDN), an innovative approach to network management, the study underscores the critical importance of selecting the appropriate SDN controller. The methodology involves configuring a test environment with Mininet, evaluating performance, scalability, and ease of use, and conducting a comparative analysis of the results. The research contributes to both practical and theoretical understanding of SDN controller selection, providing valuable insights for professionals and researchers. The proposal highlights the relevance of the research in the current SDN landscape, outlining objectives, methodology, expected results, and ethical considerations, solidifying its significance in the field. Editor: Universidade Federal da Paraíba Tipo: TCC Tue, 17 Dec 2024 00:00:00 GMT https://repositorio.ufpb.br/jspui/handle/123456789/35363 2024-12-17T00:00:00Z https://repositorio.ufpb.br/jspui/handle/123456789/35362 Título: Intersecções entre Computação Quântica e Bioinformática: Potenciais, Desafios e Aplicações Práticas Autor(es): Brasil, Victor Henrique Felix Orientador: Rêgo, Thaís Gaudencio do Abstract: As the volume of biological data continues to increase rapidly, es pecially in genomics and molecular biology, traditional computational approa ches have struggled to scale accordingly. This work presents a literature review focused on the intersection between quantum computing and bioinformatics, ex ploring the main concepts, methodologies, and applications that connect these two areas. The study maps how quantum algorithms and architectures are being considered to optimize classical bioinformatics tasks, and proposes a practical, incremental approach for integrating quantum computing into existing tools, such as the GATK, a toolkit widely used in bioinformatics for variant calling from sequencing data. Based on the analysis of recent scientific contributions and the evaluation of current challenges and opportunities, the study concludes that incorporating quantum subroutines into classical pipelines is conceptually viable, with the potential to accelerate specific stages, such as variant identifi cation and prioritization, without requiring a complete restructuring of existing workflows. Furthermore, it proposes a conceptual foundation to guide future research efforts interested in applying quantum computing to diverse problems in bioinformatics. Editor: Universidade Federal da Paraíba Tipo: TCC Wed, 07 May 2025 00:00:00 GMT https://repositorio.ufpb.br/jspui/handle/123456789/35362 2025-05-07T00:00:00Z https://repositorio.ufpb.br/jspui/handle/123456789/35361 Título: CODATA AI: uma experiência com modelos de GPT no setor publico Autor(es): Santos, Pedro Lucas da Silva dos Orientador: Damasceno, Adriana Carla Abstract: The adoption of arti cial intelligence (AI) in the public sector is aligned with the goal of optimizing processes and increasing e ciency in the provision of services to society. In this context, the Data Processing Company of Paraba (CODATA) seeks innovative solutions to improve the work of its employees, in order to favor increased productivity in all departments of the organization. Despite the advancement of AI tools, many available solutions do not fully meet the speci c demands of the public sector, such as security, reliability, and customization. This scenario highlights a research opportunity for the development of an application that lls these gaps, aligning with the institutional needs of the company. This work aims to register the development process of the CODATA AI application, which uses OpenAI models to support and streamline the document writing process by the companys requirements analysts. The proposal is to o er a secure and adaptable solution, di erentiating itself from the options available on the market. The adopted methodology, based on Design Science Research (DSR), involved gathering requirements from the CODATA team, narrating the application development process, and validating the system. In addition, the main technical challenges, lessons learned, limitations, and future prospects of the tool were discussed. The results demonstrated that the application was successful in assisting the work of requirements analysts, automating routines and, consequently, reducing the time spent writing documents. The rst version of the system in production proved to be stable and e cient for this type of task; however, opportunities for improvement and possible scenarios for expanding functionality were identi ed. Editor: Universidade Federal da Paraíba Tipo: TCC Fri, 25 Apr 2025 00:00:00 GMT https://repositorio.ufpb.br/jspui/handle/123456789/35361 2025-04-25T00:00:00Z https://repositorio.ufpb.br/jspui/handle/123456789/35360 Título: TechDebt Tracker: Um framework visual para o gerenciamento de dívida técnica em startups Autor(es): Pereira, Mayra Daher de Carvalho Orientador: Damasceno, Adriana Carla Abstract: Technical Debt has become a relevant topic in software engineering, being related to the consequences of introducing immature or incomplete ar tifacts during software development. Several studies address it in the context of more mature companies, however, few studies focus on startups. Conside ring the informality in the adoption of software engineering best practices by startups, the objective of this work was to develop a framework to assist them in managing Technical Debt, called TechDebt Tracker. For this purpose, the Design Science Research method was used. According to the results obtained, TechDebt Tracker proved to be effective in managing Technical Debt, as well as simple to understand and implement. Editor: Universidade Federal da Paraíba Tipo: TCC Tue, 19 Nov 2024 00:00:00 GMT https://repositorio.ufpb.br/jspui/handle/123456789/35360 2024-11-19T00:00:00Z