TCC - Bacharelado em Ciência da Computação (Sede)
URI permanente para esta coleçãohttps://arandu.ufrpe.br/handle/123456789/415
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Item Análise de envelhecimento de software em uma plataforma de Blockchain(2022-05-04) Silva, Douglas Dias da; Andrade, Ermeson Carneiro de; http://lattes.cnpq.br/2466077615273972; http://lattes.cnpq.br/5082801636483279Software aging is a phenomenon that plagues many long-running complex computer systems, which exhibit performance degradation or an increasing failure rate. Such a phenomenon may also be present in blockchain platforms. However, there are still no works focused on analyzing this phenomenon on these platforms. Thus, we adopted the Cardano blockchain to analyze software aging due to the presence of this technology in critical projects, its open-source nature and for being a sustainable solution. Considering the analysis of running a Cardano node on two computers with different configurations, we found evidence of software aging through memory degradation that was confirmed by the Mann-Kendall test. By analyzing the running processes, we confirmed that cardanonode (the main process of the platform) is the process possibly responsible for such degradation.Item Análise de sentimentos de tweets relacionados a vacinas antes e durante a pandemia da COVID-19 no Brasil(2023-03-01) Silva, Íkaro Alef de Lima; Andrade, Ermeson Carneiro de; http://lattes.cnpq.br/2466077615273972; http://lattes.cnpq.br/7938306473921402In early 2020, the COVID-19 disease spread rapidly around the world and one of the ways to fight it is the vaccine. Governments faced problems with fake news and anti-vaccination groups. Thus, it is necessary to understand the feelings of the population in order to propose efficient public policies. This article describes a sentiment analysis on vaccine-related tweets in Brazil from June 2020 to June 2021. The results revealed peaks in total tweets in January and May 2021, the predominance of positive tweets, and feelings of confidence, fear, submission and sadness. They are also associated with former President Jair Bolsonaro. The negative polarity was the least common, showing that the Brazilian population was receptive to vaccines.Item Avaliação experimental de replicação em banco de dados para recuperação de desastres(2020-12-18) Santos Neto, Wilson Medeiros dos; Andrade, Ermeson Carneiro de; http://lattes.cnpq.br/2466077615273972; http://lattes.cnpq.br/1208163441814364IT systems are essential for the operations of any modern business. Such systems must support operations of their corresponding company under any conditions. Disaster Recovery (DR) strategies have been implemented to help organizations mitigate unexpected failures and reduce unnecessary expenses. However, to the best of our knowledge, no other work experimentally analyzes data replication at the database layer with a focus on DR strategies. Therefore, this work evaluates a relational database replication as a mean of implementing a DR solution. We use a real testbed in a public cloud environment to perform extensive experiments aimed at implementing the replication provided by MySQL, considering various scenarios in the context of DR. Our results show how response time, Recovery Point Objective (RPO) and Recovery Time Objective (RTO) vary according to the size of the replicated data, the synchronization type (ex.: asynchronous or semisynchronous) and the configuration of the slave servers. This work can assist DR coordinators or individuals to decide which database replication configuration for disaster recovery is best for their work environment.Item BRIMO: uma ferramenta para análise de sentimentos(2022-04-08) Sales, Otávio Alves Guedes; Andrade, Ermeson Carneiro de; http://lattes.cnpq.br/2466077615273972; http://lattes.cnpq.br/9546787079254144Twitter is one of the fastest growing social networks in recent years, being one of the main platforms for people to share their opinions through short posts called tweets. Every trending topic generates rich discussions, and an analysis of people’s sentiments about a topic provides a more comprehensive understanding of the subject. However, to our knowledge, there are no tools that make this type of analysis accessible to the general public. Thus, we propose BRIMO, a free web tool with simple and intuitive interface, which allows the analysis of sentiments quickly and objectively, through graphical representations of data. We evaluated BRIMO’s usability and usefulness with target users. The results indicate that the tool has great usability according to the criteria used, in addition to being useful for several purposes, in the perception of participants.Item Rede de Atenção Psicossocial na cidade de Olinda: desenvolvimento de um protótipo web para melhoria do acesso aos serviços de saúde mental(2024-10-04) Silva, Isaque João da; Andrade, Ermeson Carneiro de; Araújo, Carlos Julian Menezes; http://lattes.cnpq.br/3156174527107999; http://lattes.cnpq.br/2466077615273972; http://lattes.cnpq.br/1877126987902999This article highlights the importance of the Psychosocial Care Network (RAPS) in the mental health of the population and the need to provide clear and accessible information about its services in the city of Olinda. The objective of the study was to propose a web application, through the development of a prototype, that centralized essential information such as target audience, address, phone number, and operating hours of RAPS services. The methodology includes problem identification, user profile definition, ideation, prototype development, and evaluation through a questionnaire answered by 127 participants. The results show a positive evaluation of the prototype, with 91.4% of respondents agreeing on its navigability and 90.6% of participants expressing their intention to use it in their daily lives. It is concluded that the project is promising and reinforces the need for continuous improvements in the available information, as well as the possibility of implementing the proposed solution and adapting it to other municipalities.Item Sentiment analysis of tweets related to SUS before and during COVID-19 pandemic(2021-02-19) Silva, Henrique Farias Pereira da; Andrade, Ermeson Carneiro de; Araújo, Danilo Ricardo Barbosa de; Dantas, Jamilson Ramalho; http://lattes.cnpq.br/5655706091153128; http://lattes.cnpq.br/2466077615273972; http://lattes.cnpq.br/9810796504568932The COVID-19 pandemic has affected the whole world since the beginning of 2020. In Brazil, over 70% of the population rely on the Brazil’s Unified Health System (SUS). Knowing public opinion related to SUS is very important for the improvement of services and assistance provided by such an entity. Sentiment analysis has been used in several applications including social networks and blogs to extract public opinion. Despite the fact that other papers have already worked with sentiment analysis, none of them have focused on SUS. Therefore, the goal of this paper is to analyse the sentiments shown by Brazillian Twitter users about SUS before and during COVID-19 pandemic. To reach this goal, a database of portuguese tweets regarding SUS posted between december 2019 and october 2020 was created. The tweets were pre-processed, classified and then analysed. The results show that, in most cases, users are in favor of SUS.