Navegando por Autor "Monteiro, Cleviton Vinicius Fonsêca"

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Ações para diminuição do número de cancelamentos de uma empresa do setor fitness (ESF)
(2024-02-08) Macena, Jean Karlos Clemente de; Monteiro, Cleviton Vinicius Fonsêca; http://lattes.cnpq.br/9362573782715504; http://lattes.cnpq.br/1965699603282309
Análise comparativa de ferramentas de testes automatizados de ponta a ponta em ambientes de aplicações web
(2024-03-11) Farias, Guilherme Carneiro de; Monteiro, Cleviton Vinicius Fonsêca; http://lattes.cnpq.br/9362573782715504
In a context where software occupies an increasingly relevant and complex space in society, it is extremely important to enable means for it to be developed with quality. One of these means is automated testing, and in the current scenario, we observe the emergence of a variety of tools in this area, each with its own nuances and unique functionalities. Faced with this diversity of options, this research compares the main end-to-end testing automation tools in web application environments, aiming to facilitate the choice of the most suitable for each project. The theoretical foundation includes concepts of Software Quality, Software Testing, and Architecture and Automation Testing Tools. Three tools were identified and evaluated: Selenium WebDriver, Cypress, and Playwright. The research method is exploratory and descriptive, combining qualitative and quantitative approaches. The results indicate that Playwright presents the best combination of features for end-to-end automated testing in web applications.
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/5743969633597802
Quality 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.
Aprendizagem de máquina para a identificação de clientes propensos à compra em Inbound marketing
(2019-07-12) Silva, Bruno Roberto Florentino da; Monteiro, Cleviton Vinicius Fonsêca; Soares, Rodrigo Gabriel Ferreira; http://lattes.cnpq.br/2526739219416964; http://lattes.cnpq.br/9362573782715504
The most important point for a company should always be the customer and getting new customers is not always an easy strategy. Digital marketing techniques study how to attract new customers to businesses using digital platforms. By virtue of the popularization of these means, the strategies had to be shaped to the new possibilities. With just one click you can reach thousands of individuals, which means many new leads for the company. However, filtering out which of these individuals are really interested in the product or service offered by the company demands a lot of effort from the sales team. This overhead is detrimental in the sense that the company can lose revenue by not targeting the real opportunities. With the aim to minimize this problem, the present work offers a proposal whose objective is the automatic identification of the client achieved through digital marketing strategies. It is proposed the usage of Machine Learning techniques, in particular supervised classification algorithms, namely Decision Tree and Naive Bayes. It was used the Scikit-learn library available for the Python programming language. In addition, it was necessary to apply the SMOTE oversampling algorithm, due to the unbalance of the dataset. In addition, in order to optimize the classification, we used the techniques of attribute selection and model selection with hyperparameters adjustment. Finally, to evaluate the results, we used the confusion matrix, the precision and coverage metrics, and the accuracy and coverage curve. Due to the imbalance of the data, the precision metric did not report good indexes results, with averages of 5.5% of correctness. In addition, the coverage was around 83%. Even with such divergent results among the applied metrics, the present work reached its goal, identifying most of the real opportunities and reporting that using this approach, it would be possible to obtain a reduction of up to 85% in the effort applied by the sales team if they had to call for all the leads. As a consequence, the company may have a cost reduction with the resources applied to obtain new customers, allowing the sales team to find new customers with greater efficiency.
Construção de guidelines para tornar um e-commerce acessível para pessoas com deficiência visual
(2022-10-10) Sá, Stefany Vasconcelos de; Monteiro, Cleviton Vinicius Fonsêca; http://lattes.cnpq.br/9362573782715504; http://lattes.cnpq.br/8325303764845484
The emergence of e-commerce has changed the way people shop and as a result there has been a significant increase in the number of online stores. A recent study published by Accenture showed that people with disabilities have purchasing power and feel like shopping, and linked to their limitations, online stores are shown to be a great option to make their purchases without having to leave their homes. House. The problem arises when these online stores are not prepared enough to meet the needs of people with disabilities, specifically visual impairment, and as a result of this unpreparedness, this target audience is marginalized, a fact that violates the basic rights of these individuals. Using the knowledge acquired through a study Based on Web Content Accessibility Guidelines (WCAG) and internet accessibility standards, it was possible to build some artifacts that served as guides for decision-making and implementation standards. In this guideline are present techniques of software development and inclusive design.
Desenvolvimento de no-code no FlowUp: construção de campos personalizáveis
(2024-10-04) Santos, João Victor Vieira Silva dos; Monteiro, Cleviton Vinicius Fonsêca; http://lattes.cnpq.br/9362573782715504; http://lattes.cnpq.br/5366897410770757
This study focuses on the implementation of No-Code features in the FlowUp ERP system to provide greater flexibility and customization for users. Using the Design Thinking methodology, customizable fields were developed, allowing for better adaptation of the system to the specific needs of each company. Interviews with stakeholders confirmed the usefulness of the feature, suggesting improvements for its expansion. The study concludes that the introduction of No-Code in FlowUp is an efficient solution for customization, offering new possibilities for system evolution and data integration.
Ferramenta para otimizar a importação dos dados de novos clientes do sistema Flowup
(2021-03-03) Pereira, Jobson Rocha; Monteiro, Cleviton Vinicius Fonsêca; http://lattes.cnpq.br/9362573782715504; http://lattes.cnpq.br/9701324260502964
The data migration between systems is still a complex task for software developers today. This has a considerable contribution from the various types of databases that exist and the lack of standard in the construction of projects. This same difficulty is perceived for online business management systems, known as Cloud ERP (Cloud Enterprise Resource Planning). These online systems can integrate all areas of the company on a single platform. And if there is a problem, be it a failure in some functionality, inconsistent data, or even a failure in the connection with the server, a great loss can be generated to the company that hired the system. In these cases, the contracting company is totally dependent on the system with its supplier company. In this context, the problem can be solved by changing the Cloud ERP system. With the aim to facilitate, streamlining and making flexible the import of data from a spreadsheet into a Cloud ERP system, it is proposed in this work the Migrup tool. In this way, the contracting company of another system will be able to export the data from its system to a spreadsheet; with that, the company will have the possibility to migrate to Flowup using Migrup to import its data. Migrup was developed using the Design Thinking methodology to build a creative solution and, thus, meet the user’s needs. Then, in the implementation stage, it was defined that the ETL (Extract Transform Load) process would be used, which is widely used in the migration of data between systems, with the objective of extracting data from a source, adjusting and adapting this data and , then load them to a destination. Thus, an ETL tool was used to facilitate the implementation. The use of this tool, through a graphical environment, with several options of components for different purposes, facilitates the implementation and makes maintenance faster and more practical. Compared to the import tools of the other systems mentioned in this work, including the legacy tool of the Flowup system, Migrup encompasses almost all the features and characteristics present in these other tools, bringing several benefits to users in a single tool. The main ones were: available to customers, import any spreadsheet format, faster error detection, correction in the format of some data and presentation of a report after the import process execution.
Identificação de Outliers para detectar riscos de gestão
(2018-08-17) Brizeno, Raissa Costa; Monteiro, Cleviton Vinicius Fonsêca; Lima, Rinaldo José de; http://lattes.cnpq.br/7645118086647340; http://lattes.cnpq.br/9362573782715504; http://lattes.cnpq.br/1672154276438369
Outliers are values that doesn’t converge with the rest of the data series. These values when they arise in financial context can represent problems that have a direct influence on the health of an enterprise and the decision-making by the managers. In view of this, it was intended with this work identify anomalies in financial launches arising from the accounts of real companies. For this, statistical analyzes of the launches were fulfilled in order that outliers detection techniques could be chosen and then compared with the outliers detection of evaluators . Among the great variety of techniques were chosen the methods of Boxplot, Boxplot adjusted, MAD and standard deviation. The results show that most of the series didn’t follow a normal distribution, and the experimental results of the comparisons between the automatic methods and the evaluators showed substantial differences.
Minha UBS: aplicativo para facilitar o acesso a serviços disponibilizados em Unidades Básicas de Saúde
(2024-10-09) Lira, Emerson Leonardo Oliveira de; Monteiro, Cleviton Vinicius Fonsêca; http://lattes.cnpq.br/9362573782715504
The Unified Health System is the system that guarantees the Brazilian population access to health services free of charge through the public network. The main way of accessing these services is from basic health units, popularly known as "postinhos", Those responsible in these units for facilitating this access for residents are community, health and endemic diseases, agents who act as bridges between residents and health units. With tools to help plan strategies to operate in the region and facilitate communication with residents, Minha UBS proposes, through an application, to reduce barriers between the population and public health services.
Pet Happines: aplicativo para anúncio de animais na rua
(2024-10-04) Silva, Acadi Teófilo de Lima; Monteiro, Cleviton Vinicius Fonsêca; http://lattes.cnpq.br/9362573782715504
O crescimento da população de animais nas ruas é um problema significativo, visto que, ocorrem diversas consequências tanto para o animal quanto para a sociedade. Uma das metidas para ajudar esse cenário é a alocação desses animais para abrigos, no entanto, esses lugares são temporários e precisam que os animais sejam adotados, mas os mesmos estão ficando cada vez mais superpovoados com baixa taxa de adoção. Uma das possíveis causas para essa dificuldade no processo de adoção é a falta de comunicação entre as pessoas que querem adotar esses animais e as que possuem esses animais à disposição para doação. Diante desse cenário, o objetivo deste trabalho é desenvolver um aplicativo para anúncios de animais nas ruas, seja eles abandonados ou perdidos. Para isso, a metodologia foi composta por três principais fases: 1) conscientização do problema com o levantamento de requisitos; 2) sugestão e desenvolvimento, com uso de: Flutter, padrão de estrutura MVC, Firebase, Android Stúdio e etc; 3) validação, por meio do Attrakdiff e teste com usuário. Ao final, os resultados sugerem que o aplicativo desenvolvido é considerado atrativo e os avaliadores se identificaram. Em momento futuro deve-se melhorar alguns pontos de designer identificado durante a avaliação.
Uma proposta para agrupamento automático de horas de trabalho
(2022-06-03) Félix, Matheus Rodrigues de Souza; Monteiro, Cleviton Vinicius Fonsêca; Lima, Rinaldo José de; http://lattes.cnpq.br/7645118086647340; http://lattes.cnpq.br/9362573782715504; http://lattes.cnpq.br/6209976572558281
The recording of hours used in projects is a recurring task in the day-to-day of most professionals. This task is crucial in processes related to administration and human resources for analysis of alignment with schedules and productivity. However, filling in correctly and on time are important points for the cycle of activities and registration to be effective. When the professional works on several projects in an alternating way in his daily life, the record of these activities tends to gain inaccuracy. In this article, a proposal will be presented to enable the automation of time recording through the use of text mining techniques. The objective of this project is to create a facilitator that helps the user by minimizing the daily hours creating records of work performed and increasing the accuracy of the records.
Sistema de aprendizado de máquina para predição do tempo de esforço de tarefas de desenvolvimento de software
(2021-12-14) Sitonio, Tiago Pedro da Silva; Monteiro, Cleviton Vinicius Fonsêca; http://lattes.cnpq.br/9362573782715504; http://lattes.cnpq.br/0915757895643807
O uso de Auto ML nas apostas esportivas
(2022-06-02) Oliveira, José Matheus Souza de; Monteiro, Cleviton Vinicius Fonsêca; http://lattes.cnpq.br/9362573782715504
The sports betting market has been growing effectively, and of the 40 teams that compete in the A and B series of the Brazilian Championship, 35 are sponsored by bookmakers. Observing the number of gamblers that are profitable, it was found that there is a great need for solutions that help these people to become profitable. In order to achieve this goal in the long term, the first step of this project is to evaluate the use of Auto Machine Learning (AutoML) solutions in two betting scenarios: both teams score, and the match has more or less than 2 goals. For this work, data from the 2017 Serie A Brazilian Football Championship were used. The championship has 38 rounds in total and 10 matches in each round, totaling 380 matches. To calculate the profit scenarios, two forms of evaluation were established: without restriction and with probability restriction. Comparing the results obtained in these two scenarios, scenario 2 in all results presented a profit, unlike what was achieved in scenario 1, in addition, we have the assertiveness rate that was much more positive in scenario 2, reaching a value of 73.68% while the maximum rate obtained in scenario 1 was 63.88%.
Uso de Machine Learn para classificação de lançamentos financeiro: estudo comparativo entre modelo AutoML e Redes MLP
(2022-10-10) Silva, Vinicius Mateus Mendonça da; Monteiro, Cleviton Vinicius Fonsêca; http://lattes.cnpq.br/9362573782715504; http://lattes.cnpq.br/6180002649065928
The study of this work aims to help companies in their financial management by generating models based on Machine Learning to classify financial releases. With the help of libraries developed in the Python language, it was possible to train AutoML models and Multilayer Perceptron Neural Networks responsible for data classification. With results above 85% in the metrics of Accuracy, Recall, F-measure and Precision for both models, using them brings the possibility of better management of financial releases with less effort.
Uso de Machine Learning para identificação de solicitação de teste de confirmação em projeto de teste de software
(2022-06-06) Santos, Victor Leuthier dos; Monteiro, Cleviton Vinicius Fonsêca; Albuquerque Júnior, Gabriel Alves de; http://lattes.cnpq.br/1399502815770584; http://lattes.cnpq.br/9362573782715504; http://lattes.cnpq.br/8817589533156593
Uso de machine learning para previsão de valores de apartamentos no município do Recife
(2023-09-12) Silva, Thiago César de Miranda; Monteiro, Cleviton Vinicius Fonsêca; Soares, Rodrigo Gabriel Ferreira; http://lattes.cnpq.br/2526739219416964; http://lattes.cnpq.br/9362573782715504; http://lattes.cnpq.br/8285740572952516
The COVID-19 pandemic has brought with it a series of economic effects and transformations related to behavior and the way people live, which, in turn, have had repercussions on property prices and real estate demand. In this context, property price forecasting assumes an extremely important role, contributing to more informed decisions, mitigating risks, and promoting greater transparency in the real estate sector. The implementation of automation in price forecasting further enhances this dynamic, significantly improving accuracy, efficiency, and reliability of predictions, while providing adaptability to economic fluctuations with greater agility. Utilizing listings available on OLX, a georeferenced database was created to generate a residential apartment price prediction model in Recife, using machine learning models in AutoML. This tool automates the development of machine learning models, enabling rapid experimentation and a focus on problem-solving. The work indicates that the poor geographical distribution of the data has biased the results of the models. Furthermore, it was concluded that the data found on online buying and selling platforms are insufficient for generating a machine learning model that achieves an acceptable level of accuracy in Recife, mainly because transaction values for the properties are not provided, only the advertised prices. However, this current work provides significant contributions to the advancement of research related to automation in real estate price prediction.
O vaso inteligente: uso de design thinking na criação de uma tecnologia Appless para o mercado de jardinagem e paisagismo
(2022-06-01) Vasconcelos, Bruna Pereira; Medeiros, Victor Wanderley Costa de; Monteiro, Cleviton Vinicius Fonsêca; http://lattes.cnpq.br/9362573782715504; http://lattes.cnpq.br/7159595141911505; http://lattes.cnpq.br/8985198107522049
The COVID-19 pandemic and the need for social distancing led Brazilians to adopt a new habit: growing plants. The sector recorded growth of 10% in 2020, moving R$9.6 billion, according to the Brazilian Institute of Floriculture (Ibraflor). We have applied techniques from the Design Thinking methodology. We carried out interviews with consumers and entrepreneurs in this segment. We detected that the biggest problem faced by people is to follow the care routine that a plant demands correctly. The study aimed to propose a Proof of Concept (PoC) of a smart vase and evaluate the user experience when using it to support domestic plants’ care. Eighty-two people evaluated the Smart Vase. Of these, 90% reported the desire to acquire it, indicating that the method and techniques used in this work effectively enabled a solution that adequately solves the target audience’s problem.