Bacharelado em Sistemas de Informação (Sede)
URI permanente desta comunidadehttps://arandu.ufrpe.br/handle/123456789/12
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APP - Artigo Publicado em Periódico
TAE - Trabalho Apresentado em Evento
TCC - Trabalho de Conclusão de Curso
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Item Análise de dados coletados para a melhoria de uma suite de testes em um site de e-commerce(2024-03-08) Lubambo, Manoela Timossi; Monteiro, Cleviton Vinicius Fonsêca; http://lattes.cnpq.br/9362573782715504; http://lattes.cnpq.br/5743969633597802Quality is important in Software Engineering so that systems maintain and meet specified requirements, are reliable, efficient and free from defects. This is guaranteed through a series of standards, practices and processes. As an essential part of the quality assurance process, software testing aims to verify the software’s compliance with established functional and non-functional requirements, such as performance, security, usability, reliability, among others. They are conducted by running the software under controlled conditions, using specific techniques and strategies to detect problems and ensure their correction. One of its diverse approaches is through test automation. In this work, a detailed report is made on the process of automating a test suite, highlighting the challenges faced throughout this process. And, a thorough analysis of the data collected regarding automation is carried out and, through this analysis, we seek identify the root of the problems related to the lack of effectiveness of the automation presented, where possible improvements are identified based on the results obtained, aiming to optimize the effectiveness of the test automation process.Item Análise de dados de redes Wi-Fi por meio de redes de correlação(2021-12-17) Ferreira, Anderson dos Santos; Goncalves, Glauco Estacio; Medeiros, Victor Wanderley Costa de; http://lattes.cnpq.br/7159595141911505; http://lattes.cnpq.br/6157118581200722The growing use of Wi-Fi networks has generated a large volume of data that allow studies to analyze human behavior. One of the ways to study these data is through a complex network created from correlation coefficients. Data from the UFRPE Wi-Fi network were collected during 6 days, the creation of time series allowed the analysis of the occupation graphs of the headquarters buildings, thus enabling the creation of complex networks based on correlation coefficients. The occupancy graphs showed the times and buildings with the highest occupancy for each day, while the complex network metrics showed a strong correlation of buildings with different degree values.Item Uso da ciência de dados para estudo de falhas e fraudes dos abastecimentos de postos de gasolina(2019-12-19) Arruda, Luiz Felipe Ribeiro de; Albuquerque Júnior, Gabriel Alves de; Roullier, Ana; http://lattes.cnpq.br/1399502815770584; http://lattes.cnpq.br/1825682578554550Item Uso de business intelligence como ferramenta de apoio em previsões de apostas de jogos de futebol(2021-12-16) Domingues, Marcela Soares; Albuquerque Júnior, Gabriel Alves de; http://lattes.cnpq.br/1399502815770584; http://lattes.cnpq.br/6238090449898774The number of Brazilians that currently make investments on online sports betting, mainly related to football teams, are huge. This practice is allowed in Brazil since 2018, according to the law 3.756/18. With this permission granted, added to the Brazilian passion for football games, this is an investment area that has been growing fast since then, reaching high levels of financial movements, making people to call on this practice as guaranty of extra or main source of incomes. To make an investment in an specific bet, the ideal is that you have some idea of the risks you are taking. Betting involves losses and sometimes the investments are worthless. To know that, is necessary to take into account some variables as historical data from football teams and players. The use of Business Intelligence, that is already used for some teams to study the behaviour of others, is also of great value when it comes to analyze which bets are worth to make an invesment. Through BI concepts, this paper presents the development of a dashboard containing graphs and reports with the intention to help on the bet analysis. Besides that, it also presents a predict model to find out the amount of goals in an specific match and the calculation of winning probabilities of each team in a given match.