TCC Sistemas de Informação

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Análise de movimentos motores finos dos dedos utilizando visão computacional: um estudo de caso do Finger Tapping Test (FTT) na doença de Parkinson
(2025-11-26) Campos, Herbert Douglas Silva da Silva; Nascimento, Arlyson Alves do; http://lattes.cnpq.br/9395417554768580; Medeiros, Leonardo Melo de; http://lattes.cnpq.br/1080593968001453; Passos, Frederico Salgueiro; Calado, Ivo Augusto; http://lattes.cnpq.br/5748220882915553
Parkinson’s disease (PD) is characterized as a neurodegenerative and progressive disorder that affects a significant portion of the elderly population worldwide. The most common symptoms in PD include cognitive problems, which predominantly begin to appear in more advanced stages, unlike the motor symptoms that manifest at the onset of the disease. The Movement Disorder Society Unified Parkinson’s Disease Rating Scale (MDS-UPDRS) is one of the assessments that aid in diagnosing and monitoring the levels of Parkinson’s disease in patients. Within the MDS-UPDRS III, which assesses the motor aspects of patients, there is the Finger Tapping Test (FTT), used to assess bradykinesia and rigidity of movement. FTT is typically administered by a healthcare professional who observes the patient performing the test. However, the use of computer vision can provide a more effective alternative by accurately capturing the movement’s characteristics. The aim of this study was to develop a computer vision system capable of acquiring data from fine finger movements during the FTT and subsequently classify Parkinson’s disease levels according to the MDS-UPDRS. For this study, a computer vision algorithm was created to record data resulting from the abduction and adduction of hand movements during the FTT, calculating the amplitude generated by these movements. A dataset comprising 532 videos of both Parkinson’s and non-Parkinson’s patients, classified into four levels according to the MDS-UPDRS, was used. Subsequently, biomechanical signal processing procedures were conducted. The results obtained indicate that the use of computer vision in assisting healthcare professionals is promising. Data collection from movements allows for the creation of a database that can be used in machine learning models to predict the patient’s disease level based on the MDS-UPDRS. Additionally, a binary classifier was developed to determine the level at which each patient falls, using a Support Vector Machine (SVM) along with the leave-one-out cross-validation technique. This resulted in an accuracy of 73.3% when using the entire available dataset and 76.6% when using only the right-hand FTT.
Análise do monitoramento dos sinais motores da doença de Parkinson: uma revisão sistemática
(Instituto Federal de Educação Ciência e Tecnologia de Alagoas, 2023-05-31) Lima, Mayara Rysia de Assis; Medeiros, Leonardo Melo de; http://lattes.cnpq.br/1080593968001453; Costa, Breno Jacinto Duarte da; http://lattes.cnpq.br/7418697922506495; Passos, Frederico Salgueiro; http://lattes.cnpq.br/6590059682506348
Parkinson’s Disease (PD) is a chronic degenerative disease that causes a motor disorder affecting the individual’s routine tasks and destabilizing their quality of life. The most notable motor signs make up a tetrad: rigidity, bradykinesia, postural and gait changes, and resting tremor. Thus, the medical examination requires an assessment of motor movements, emphasizing the speed, amplitude and rhythm of each movement, in order to monitor the symptoms and improve the clinical diagnosis. In order to distinguish improvements or evolutions of PD, motor assessment methods become increasingly indispensable, and in the literature, systems or mechanisms for quantifying these symptoms are found, the most recurrent being for the signs of bradykinesia, aided by the most well-known skill test, the Finger-Tapping Test (FTT). However, none of them is yet able to prove a definitive diagnosis, therefore relying on the interpretation of a neurologist. This research presents a Systematic Literature Review (SLR) with academic artifacts produced, which demonstrate relevant data on motor movements and their quantification, using mostly the MDS UPDRS part III scale as a guide, in order to extract a set of requirements to be developed in a system for monitoring the progress of Parkinson’s motor signs, using the finger tapping test (FTT) as a technique. As a result, the RSL aimed to identify the most current techniques and approaches that quantify motor assessments, in addition to clarifying whether these methods demonstrate positive interference in the assessment process with the FTT technique.
Uma análise orientada a riscos da atuação das tecnologias de informação e comunicação (TICs) no contexto do ensino remoto durante a pandemia de COVID-19
(Instituto Federal de Educação Ciência e Tecnologia de Alagoas, 2023-06-06) Lima, José Landeivison da Silva; Bezerra, Tarcio Rodrigues; http://lattes.cnpq.br/5285201763618981; Cunha, Mônica Ximenes Carneiro da; http://lattes.cnpq.br/1775024859845111; Cruz, Wladia Bessa da; http://lattes.cnpq.br/9112099478105369
The COVID-19 pandemic has imposed a rapid shift to remote learning, driven by ICTs. While ICTs have brought benefits, such as flexibility in learning and access to educational resources, it has also exposed significant challenges, such as lack of access to technology and quality connectivity. This paper presents a risk-oriented analysis of the performance of information and communication technologies in the context of remote learning during the COVID-19 pandemic. This study is a qualitative research of exploratory nature, where information was collected from a literature search and the application of the risk management methodology. The results obtained indicate that it was possible to verify the eligible vulnerabilities and their causes, as well as the risks in the teaching-learning process and how the ICTs could contribute to mitigate these risks.
Avaliação de usabilidade do prontuário eletrônico do cidadão (PEC), do sistema de informação E-SUS AB em um município alagoano
(Instituto Federal de Educação Ciência e Tecnologia de Alagoas, 2022-07-06) Arruda, Antonio Aureliano Gomes; Oliveira, Augusto César Melo de; http://lattes.cnpq.br/0015527839272634; Kamei, Fernando Kanji; Araújo, Fabrísia Ferreira de; http://lattes.cnpq.br/9852315723070987
The Citizen's Electronic Health Record (PEC) is a tool made available by the Ministry of Health, through the e-SUS AB strategy, capable of optimizing the flow of care at Basic Health Units, as well as supporting the process of coordinating citizen care. carried out by the family strategy teams. The present study aimed to evaluate the degree of usability of the (PEC) of the e-Sus AB information system, based on Nielsen's heuristics by two specialists and with the System Usability Scale (SUS), from the perspective of professionals from family health teams. For that, it was necessary to analyze the usability of the (PEC), of the e-Sus AB information system, as well as to evaluate the degree of user satisfaction in the use of the (PEC), as well as to identify the main difficulties presented by the users when using the (PEC), in order to contribute to a better understanding of the usability assessment processes of health information systems, and finally, to propose a prototype of screens with improvements of the PEC system. This is a research of a basic nature, with a quantitative and qualitative approach and a cross sectional survey, using two objectives: Exploratory and Descriptive. The research had a universe of 12 (twelve) Family Health Units (USF), belonging to the municipality of São Luís do Quitunde, in the interior of the State of Alagoas. As a data collection instrument, the System Usability Scale (SUS) questionnaire and Nielsen's heuristics were used, used for the heuristic evaluation. As well as the proposal of a prototype of screens containing improvements. It was found that the (SUS) presented itself as a simple and efficient instrument for usability assessment. The evaluation through the SUS, found a good evaluation of the users of the system, with a score of 70%, classifying the system as good. In the heuristic evaluation, the violation of two heuristics was identified, among them the heuristic, control and user freedom and the heuristic help and documentation. It is concluded that through the two usability analyzes used, it was possible to understand the results that point to the perceptions of health professionals, in relation to the usability of the PEC system, as well as its adequacy to the heuristics proposed by Nielsen.
Business intelligence aplicado à análise dos empregos em TI no Brasil (2015 2024)
(2025-09-30) Sena, Saulo Roberto de; Moraes Júnior, Edison Camilo de; http://lattes.cnpq.br/8234380347792761; Cruz, Jailton Cardoso da; http://lattes.cnpq.br/9366016044068759; Medeiros, Flávio Mota; http://lattes.cnpq.br/1874496667181567
Technology is advancing rapidly, driving profound changes in society. To support these transformations, technology professionals stand out. This study examines the IT job market in Brazil from 2015 to 2024 by creating four dashboards on the distribution of IT jobs by region, states, and municipalities, the profile of employees by gender and age group, and analyzing the allocation of jobs by IT positions and salaries in Brazil. For this, a BI creation methodology was used, leveraging open data from the Ministry of Labor and Employment (MTE).The study addresses the following research questions: Question 1 – Which regions of the country concentrate formal employment, and how is this distribution structured? Question 2 – How is the distribution of formal employment by gender? Question 3 – Which IT professions have grown the most in recent years in Brazil, and what is the profile of the workers in these positions, considering aspects such as salary, average tenure, and job turnover?
Desenvolvimento do studyboat: um chatbot interativo para apoio em avaliações educacionais com foco em questões do ENEM
(2024-07-12) Lucas Duarte Soares Barbosa; Moraes Júnior, Edison Camilo de; http://lattes.cnpq.br/8234380347792761; Soares , Elvys Alves; http://lattes.cnpq.br/6415531537733982; Medeiros, Flávio Mota; http://lattes.cnpq.br/1874496667181567
The present Graduation Project (TCC) focuses on the development and implementation of StudyBot, an interactive chatbot designed to provide personalized support to students during their preparation for educational assessments. The application was developed using the main features of the .NET framework and the C# (CSharp) language, and is available through the Telegram messaging tool. The persistent issue of inequality in access to quality education highlights the growing need for tools that can offer personalized and accessible educational support. This project proposes StudyBot as a solution to support students, providing an accessible and efficient means of assessment preparation using modern technologies and widely used platforms. StudyBot was developed using the .NET framework and the C# programming language. Telegram was chosen as the initial platform due to its popularity and ease of integration with chatbots. Additionally, future plans include the incorporation of artificial intelligence into StudyBot and expansion to other messaging platforms, such as WhatsApp. Initial results demonstrate that StudyBot can democratize access to quality education, broadening its reach and promoting personalized learning. The study contributes to the advancement of knowledge in the field of educational technologies, offering an innovative and effective alternative to support students in their academic journey. Future perspectives include the integration of artificial intelligence and expansion to other messaging platforms, aiming to reach an even wider and more diverse audience.
Donabox: proposta de uma plataforma SaaS de capacitação de recursos e engajamento de doadores para o terceiro setor
(Instituto Federal de Educação Ciência e Tecnologia de Alagoas, 2022-07-01) Feitosa Júnior, Anderson Morais; Cunha, Mônica Ximenes Carneiro da; http://lattes.cnpq.br/1775024859845111; Souza Júnior, Marcilio Ferreira de; http://lattes.cnpq.br/2702843581642246; Nunes Filho, Ricardo Rubens Gomes; http://lattes.cnpq.br/1760182180822152
Donor engagement is important for the sustainability of small and medium-sized third sector organizations, both financially and in attracting other donors. Also, due to the COVID-19 pandemic scenario, online fundraising platforms ended up being more widespread. The objective of this work is to propose a fundraising and donor engagement management platform for third sector organizations. The methodological procedure of the research involved a systematic literature review, a documentary research, a survey with donors, interviews with third sector organizations, the development of the platform itself and, finally, the validation. As a result of the systematic literature review, it was possible to collect the main strategies used in the donor engagement process: campaigns and post-donation thank you messages. The documentary research revealed the three main online fundraising tools, and it was possible to observe that not all of them had the requirements to engage donors. In the survey with the donors, the need for automated collections through credit card was discovered, in addition to the perceived reliability in the organization. In the interview with the organizations, the following needs were identified: recurring donations, donor portal, flexible billing model, intuitive interface and dashboard for donations. After these steps, a beta version of the platform was developed and its respective validation with one of the organizations participating in the interview. Users were satisfied and highlighted the intuitive interface, the platform’s billing model, the possibility for donors to manage their own donations, in addition to donor engagement through personalized emails and thank you messages.
Eficiência do processo de folha de pagamento sob a perspectiva da transformação digital: um estudo de caso em uma secretaria de estado
(2025-07-08) Oliveira, Mário Andretti da Silva; Cunha, Mônica Ximenes Carneiro da; http://lattes.cnpq.br/1775024859845111; Bezerra, Tarcio Rodrigues; http://lattes.cnpq.br/5285201763618981; Araújo, Fabrísia Ferreira de; http://lattes.cnpq.br/9852315723070987
Digital transformation has become a fundamental strategy to modernize public administration, especially in sectors that require a high degree of control and reliability. Payroll management, due to its legal, financial, and operational dimensions, is a critical process where errors and inefficiencies can have significant impacts. In this context, the digitalization and automation of procedures represent opportunities for public institutions seeking greater efficiency and transparency in personnel management. This study aims to analyze the efficiency of the payroll process in a state department through the lens of digital transformation, identifying impacts, challenges, and opportunities for optimization. The methodology was based on a qualitative case study, conducted through semi-structured interviews, employing the storytelling technique, with public servants directly involved in payroll processing. Data collection was complemented by document analysis and direct observation, enabling a comprehensive understanding of both technical and organizational aspects. Content analysis followed Bardin’s method, allowing systematic categorization and interpretation of qualitative data. The MAXQDA Analytics Pro software supported data organization, coding, and analysis, contributing to the traceability and analytical rigor of the research. The results indicate that the adoption of technological tools, such as integrated management systems, database queries, and specific automations, has improved information control and reduced inconsistencies. However, some manual steps still remain, highlighting the need to redesign workflows and expand the use of technology to ensure greater reliability and time savings. It is concluded that digital transformation represents a strategic path for modernizing the public sector, especially in the payroll context. The case analyzed demonstrates that, despite the progress achieved, there is room for significant improvement, provided that efforts are aligned with data-driven management, continuous staff training, and structural investments in information technology.
Especificação técnica de ferramenta que auxilia na análise dos acidentes de trânsito nas rodovias federais brasileiras por meio de ETL
(2024-04-22) Gomes Filho, José Carlos; Moraes Júnior, Edison Camilo de; http://lattes.cnpq.br/8234380347792761; Cruz, Jailton Cardoso da; http://lattes.cnpq.br/9366016044068759; Medeiros, Flavio Mota; http://lattes.cnpq.br/1874496667181567
This work presents a technical approach to address the issue of traffic accidents in Brazil, proposing the development of a command-line interface (CLI) in Python for the extraction, transformation, and loading (ETL) of data from federal highway accidents. Business Intelligence (BI) architecture is employed, with emphasis on the star schema in data modeling. The CLI allows for customized execution of the ETL process, including selection of data sets and temporal dimensions. Processed data can be used to feed an interactive Dashboard, built with PowerBI, offering detailed data visualizations and filters by road type and weather conditions. The article aims to provide a robust technical solution for the analysis and prevention of traffic accidents, with the potential to support more effective public policies in this field.
Estratégias e ferramentas para data analytics no marketing digital: uma revisão sistemática da literatura
(2025-06-27) Silva, Emerson Lino da; Cunha, Mônica Ximenes Carneiro da; http://lattes.cnpq.br/1775024859845111; Araújo, Fabrisia Ferreira de; http://lattes.cnpq.br/9852315723070987; Gomes, Anderson Rodrigues; http://lattes.cnpq.br/2811716093058287
The growing volume of data generated by user interactions, advertising platforms, and transactional systems reinforces the need for the effective use of data analytics to extract insights and support strategic decision-making in digital marketing. This article presents a systematic literature review (SLR) conducted based on PRISMA guidelines, aiming to investigate the main strategies and tools used for data integration, centralization, organization, and analysis in this context. A search in the IEEE Xplore and Google Scholar databases resulted in the identification of 90 articles. After applying inclusion and exclusion criteria, 4 articles were selected for analysis. The results highlight tools and strategies related to ETL, data storage, and reporting, as well as industry best practices and emerging developments. It is concluded that the use of data analytics tools and strategies contributes to increased productivity and accuracy of information, positively impacting insight generation and the decision-making process in the context of digital marketing.
O impacto das redes sociais na vida de adolescentes e jovens
(Instituto Federal de Educação Ciência e Tecnologia de Alagoas, 2019-01-09) Souza, Karlla Danielly de; Cunha, Mônica Ximenes Carneiro da; http://lattes.cnpq.br/1775024859845111; Araújo, Fabrisia Ferreira de; http://lattes.cnpq.br/9852315723070987; Cruz, Wladia Bessa da; http://lattes.cnpq.br/9112099478105369
Due to technological advances, the number of people with Internet access has increased exponentially. This rise of technology has assisted in the areas of health, education, security, among others. A resource that can be beneficial in so many areas, however, has caused dependence and affected social relationships, and can have consequences for the mental health of individuals. The present study aimed to examine the impacts of the use of digital technologies on the mental health of adolescents and young people. At the beginning, a systematic review of the literature (SRL) was carried out to provide the theoretical basis for the later stages of the research. This research is exploratory, presents a mixed approach, using interviews and surveys3 to collect data. The research consisted of two samples, the first one composed of 05 psychologists and the second one composed by 566 adolescents and young people, with ages between 12 and 21 years, students of schools of the public school system. The results obtained showed that there are relations between the technological dependence and the psychological health of adolescents and young people. It was also possible to note that virtual social networks can accentuate social problems and generate great impacts on the life of anyone, especially the young, among them: anxiety, depression and dependence. The work resulted in a prototype mobile application, which can be used to measure the levels of technological dependency of adolescents or young people.
Implantação de Pontos de Acesso Remotos para integração do parque tecnológico entre as Promotorias de Justiça e a Procuradoria-Geral do Ministério Público Estadual de Alagoas
(Instituto Federal de Educação Ciência e Tecnologia de Alagoas, 2023-05-18) Tenorio, Gustavo Felipe Santos de Gusmão; Pais, Flávio Vasconcelos; http://lattes.cnpq.br/8076857429109314; Calado, Ivo Augusto Andrade Rocha; http://lattes.cnpq.br/5748220882915553; Costa, Breno Jacinto Duarte da; http://lattes.cnpq.br/7418697922506495; Rocha, Cristofe; http://lattes.cnpq.br/0666510670986707
The main objective of this monograph is to demonstrate a successful case in implementing a network solution based on Virtual Private Networks (VPNs) and Remote Access Points (RAPs), which ensured access to the same resources and information available at the Attorney General's Office of the State Public Prosecutor's Office of Alagoas. To achieve this, the context and needs that motivated the implementation of the solution were presented, as well as the procedures used and their difficulties, in addition to the evaluation of the effectiveness of the solution. The results indicated that the solution was effective in meeting the institution's needs. Related works that were related to the results presented in this study were also discussed, showing the similarities and differences between the solutions implemented in each case. Finally, it is concluded that the implemented solution is feasible and can be replicated in other organizations.
NFEX: software como serviço para gerenciamento de notas fiscais eletrônicas de produto em micro e pequenas empresas utilizando a tecnologia PWA
(Instituto Federal de Educação Ciência e Tecnologia de Alagoas, 2019-03-12) Ferreira, Bruno Eris Nascimento; Bezerra, Tárcio Rodrigues; 5285201763618981; http://lattes.cnpq.br/5285201763618981; Bezerra, Tárcio Rodrigues; http://lattes.cnpq.br/5285201763618981; Oliveira, Luiz Frederico Lopes de; http://lattes.cnpq.br/5552068915087618; Souza Júnior, Marcílio Ferreira de; 5552068915087618; Bezerra, Tárcio Rodrigues
The electronic invoice project (NF-e), was originated in 2005, with the objective of replacing the manual invoice template. The NF-e project, aims to computerize its processes, rendering obsolete the manual procedure previously adopted and gradually initiating the mandatory use of NF-e throughout the country. This new model of invoices, made it difficult for companies to adapt their fiscal, administrative and financial management to it. At the beginning of the current millennium, the term software-as-a-service (SaaS) begins to be widespread. SaaS refers to services as pieces of software resident in the cloud, usually available over the Internet by browsers. Its users interact directly with the software in the cloud, just as if it were installed locally. Examples of known SaaS applications are: Gmail, Dropbox and Spotify. The model has benefits, such as cost reduction in the acquisition and composition of the infrastructure, greater flexibility and greater ease of access. The SaaS model, represents a huge chunk in the use of cloud computing in organizations worldwide, being so a motivator for the adherence of new companies and organizations. In order to address the main difficulties in NF-e management, combining the main benefits of the SaaS model, the present work proposes a progressive web application (PWA), that it is a set of ideas to enhance the user experience, that facilitates the management of NF-e, bringing readability and availability of the information contained in them. For this purpose, there were made a systematic review of the literature, field research to validate functionalities for the platform, development of a minimum viable product (MVP) carried out according to what was collected in the research and, finally, the validation of the platform with companies in person that justified the purpose of this. As a result, the platform proposes modern web technology coupled with important functionalities in NF-e management, becoming an alternative to the market in the future
QR Code como ferramenta de apoio para pessoas com transtorno do espectro autista (TEA): uma análise de viabilidade
(2025-11-27) Ferreira, Eyder Tinoco; Kamei, Fernando Kenji; http://lattes.cnpq.br/5033020411757389; Cunha, Mônica Ximenes Carneiro da; http://lattes.cnpq.br/1775024859845111; Bezerra, Tárcio Rodrigues; http://lattes.cnpq.br/5285201763618981; Santos, Eduardo Breno Farias dos; http://lattes.cnpq.br/3318799697977357
This study investigates the feasibility of using QR Codes as a complementary tool for the identification and communication of individuals with Autism Spectrum Disorder (ASD). The research stems from the observation that traditional methods, such as the puzzle-piece lanyard and the Autism Spectrum Disorder Identification Card (CIPTEA), while important, present limitations regarding practicality, information updating, and the protection of sensitive data. To assess the potential of QR Codes in this context, a systematic literature review was conducted using the Google Scholar, SpringerLink, and IEEE Xplore databases, resulting in the selection of fourteen studies published between 2019 and 2024. The findings highlighted recurrent benefits such as ease of information access, low implementation cost, real-time verification, and authenticity assurance, along with privacy risk mitigation strategies based on blockchain, digital authentication, and encryption. Subsequently, a questionnaire was applied to fifty-one participants, including individuals with ASD and their guardians, revealing that 82.3% of CIPTEA users consider the document useful for accessing rights but express interest in more dynamic and customizable digital solutions. Based on these results, the GizmoCode web system was developed—a functional prototype built with Java and Angular, designed to generate personalized QR Codes containing contact and support information, implemented in a non-governmental organization (NGO) in Maceió, Brazil. The results indicate that QR Codes represent a viable, secure, and promising alternative to complement the identification of individuals with ASD, contributing to social inclusion, accessibility, and autonomy. However, further studies are recommended to perform heuristic evaluations and assess large-scale adoption in real environments.
Quantificação do sinal do tremor parkinsoniano em exames manuscritos em espiral utilizando Machine Learning
(Instituto Federal de Educação Ciência e Tecnologia de Alagoas, 2023-10-27) Correia, Igor Matheus Barros; Medeiros, Leonardo Melo de; http://lattes.cnpq.br/1080593968001453; Costa, Breno Jacinto Duarte da; http://lattes.cnpq.br/7418697922506495; Costa, Alex Emanuel Barros; http://lattes.cnpq.br/2231272728491909
Parkinson’s disease (PD) is a progressive neurological disease that develops gradually and causes motor symptoms, such as tremors, slow movement (bradykinesia) and postural imbalance. PD affects millions of people worldwide, especially the elderly population. Data from the World Health Organization (WHO) shows that approximately 1% of the world’s population over the age of 65 has the disease. Diagnosing PD is difficult and misdiagnosis is common, especially in the early stages. Micrography is a technique commonly used in the diagnosis of Parkinson’s disease and essentially consists of performing handwritten examinations. In this context, Machine Learning (ML) emerges as a powerful tool to apply data classification techniques that can identify patterns and assist in the detection of PD. This study uses two Machine Learning models, namely Support Vector Machine (SVM) and Random Forest Classifier (RFC), with the aim of classifying handwritten exams and contributing to improving the accuracy and effectiveness in diagnosing PD. The results show that both models achieved promising performance, with high accuracy rates, reaching 86% for the RFC and 82% for the SVM. These results suggest that the application of Machine Learning to classify handwritten exams can be a valuable tool in diagnosing PD.
Random food: sistema de recomendação de restaurantes
(2025-05-07) Euzébio, Emylle Chrystinne da Silva; Kamei, Fernando Kenji; http://lattes.cnpq.br/5033020411757389; Medeiros, Flávio Mota; http://lattes.cnpq.br/1874496667181567; Kamei; Soares , Elvys Alves; http://lattes.cnpq.br/6415531537733982; Moraes Júnior, Edison Camilo de; http://lattes.cnpq.br/8234380347792761
This final course work presents the development of Random Food, a restaurant recommendation system that seeks to facilitate the choice of meals through controlled randomness. The proposal arose from the observation of a common pain point among users who are indecisive about where to eat, especially given the wide range of establishments and delivery apps. The system was built using React on the frontend, Node.js on the backend, Firebase/Firestore as a database, and solutions such as Vercel, Render and Railway for free cloud hosting. The project adopts versioning practices with Git and GitHub and was documented with a focus on functional and non-functional requirements and database structure. In addition, tests were performed to ensure the stability of the application. Random Food already has an official software registration with INPI, and this work seeks not only to describe its technical construction, but also to present its relevance as a creative, functional and low-cost solution.
Reduzindo esforços manuais na análise de equivalência dos testes de mutação
(2024-10-30) Amorim, Samuel Veloso de; Oliveira, Leonardo Fernandes Mendonça de; http://lattes.cnpq.br/4226060363182113; Oliveira; Oliveira, Augusto César Melo de; http://lattes.cnpq.br/0015527839272634; Kamei, Fernando Kenji; http://lattes.cnpq.br/5033020411757389
Mutation testing has attracted significant interest due to its reputation as a powerful criterion for test suite adequacy and its ability to guide test case generation. However, the presence of equivalent mutants hinders its use in industry. The Equivalent Mutant Problem has been proven undecidable, but manually detecting equivalent mutants is an error-prone and time- consuming task. Therefore, even partial solutions can help reduce this cost. To minimize this problem, we introduce an approach to suggest equivalent mutants. Our approach is based on automated behavioral tests, which consist of test cases based on the original program's behavior. We perform static analysis to automatically generate tests for the entities impacted by the mutation. For each analyzed mutant, our approach can suggest whether the mutant is equivalent or non-equivalent. In the case of non-equivalent mutants, our approach provides a test case capable of killing the mutant. For the suggested equivalent mutants, we also provide a ranking of mutants with a higher or lower likelihood of being truly equivalent. We tested our approach on a set of 1,542 mutants manually classified in previous works as either equivalent or non-equivalent. We found that the approach effectively suggests equivalent mutants, achieving over 93% accuracy in five of the eight studied subjects. Compared to the manual analysis of surviving mutants, our approach takes one-third of the time to suggest equivalent mutants and is 25 times faster in identifying non-equivalent mutants. We also conducted a study to discern the specific characteristics of mutants that our approach mistakenly classified as equivalent, generating false positives. Furthermore, our investigation delves into a comprehensive analysis of mutation operators, providing essential insights for professionals seeking to improve equivalent mutant detection accuracy and effectively mitigate the associated costs.
Uma revisão sistemática sobre tecnologias assistivas voltadas para auxiliar a locomoção de deficientes visuais em ambiente externo
(Instituto Federal de Educação Ciência e Tecnologia de Alagoas, 2019-12-12) Lima Neto, Ademar Ferreira; Cunha, Mônica Ximenes Carneiro da; http://lattes.cnpq.br/1775024859845111; Araújo, Fabrisia Ferreira de; http://lattes.cnpq.br/9852315723070987; Nunes Filho, Ricardo Rubens Gomes; http://lattes.cnpq.br/1760182180822152
Vision is the meaning most used by humans, as it is responsible for recognizing the world. The absence of vision entails several limitations to the human being, among them the difficulty of locomotion, especially in an external environment, which is full of unpredictable screens. Some technologies aimed at this audience do not have detection capabilities and some of them have high prices, making access difficult. This research presents a Systematic Literature Review (RSL) on Assistive Technologies (AT), aimed at locomotion of visually impaired people, seeking to identify and compare existing technologies that facilitate their mobility in everyday life. Assistive technologies that use prototyping plates to provide improvements in mobility and adaptability issues of the disabled person to their environment were selected, consisting in the detection of obstacles, comfort and independence, as well as viability, durability and accessibility.
Rotina divertida com Hugo e Sofia: um aplicativo para auxiliar no ensino de atividades de vida diária a pessoas com transtorno do espectro autista
(2025-07-08) Ramalho, Jonata Santos; Cunha, Mônica Ximenes Carneiro da; http://lattes.cnpq.br/1775024859845111; Cunha, Mônica Ximenes Carneiro da; http://lattes.cnpq.br/1775024859845111; Araujo, Fabrisia Ferreira de; http://lattes.cnpq.br/9852315723070987; Nunes Filho, Ricardo Rubens Gomes; http://lattes.cnpq.br/1760182180822152
This work presents the development of the mobile application Fun Routine with Hugo and Sofia, a mobile solution designed to support the development of skills related to Activities of Daily Living (ADLs) in children and adolescents with Autism Spectrum Disorder (ASD). To ensure the application met user needs, a participatory approach was adopted: over a period of four months, weekly visits were made to AMA-AL, allowing for observation of the participants’ daily routines and dialogue with the institution’s therapists. Based on these interactions, system requirements were defined, and low- and high-fidelity prototypes were developed and validated in collaboration with professionals to ensure accessibility, usability, and alignment with therapeutic practices. The application uses 2D animations featuring the characters Hugo and Sofia to teach the performance of everyday tasks through modeling techniques, promoting more dynamic, accessible, and engaging learning. The app was developed using Expo for the frontend and Laravel for the backend, and it will be used by therapists at the Association of Parents and Friends of Individuals with Autism (AMA) as a complementary resource during therapy sessions.
SEJA - Sistema de Estágios e Jovem Aprendiz
(2024-10-29) Oliveira , Lucas Gabriel Peixoto de; Oliveira, Leonardo Fernandes Mendonça de; http://lattes.cnpq.br/4226060363182113; Nunes Filho, Ricardo Rubens Gomes; http://lattes.cnpq.br/1760182180822152
This final course project describes the development of the Sistema de Estágios e Jovem Aprendiz (SEJA), a web platform designed for managing internships and the jovem aprendiz program within educational institutions. The system aims to automate and centralize the administration of activities such as hiring, contract tracking, termination, and final evaluations of students, thereby optimizing efficiency and reducing operational errors. Built using Next.js on the frontend and Java Spring Boot on the backend, the software has been officially registered with the National Institute of Industrial Property (INPI). Currently in use at the Federal Institute of Alagoas, the system has significantly improved control and transparency in processes, managing over 1,200 concurrent records of internships and professional practice. SEJA shows potential for expansion to other institutions, offering a streamlined solution for automated management of internships and jovem aprendiz programs.

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