http://repositorio.ufc.br/handle/riufc/24008 Sun, 24 May 2026 00:16:35 GMT 2026-05-24T00:16:35Z http://repositorio.ufc.br/handle/riufc/84799 Título: O impacto do ensino da qualidade de software na autoconfiança de profissionais egressos dos cursos de tecnologia da informação Autor(es): Veras, Vitor Manoel Souza Abstract: Software Quality (SQ) is a fundamental element for the development of reliable, efficient systems aligned with market demands, and is a relevant component in the training of Information Technology (IT) professionals. This study analyzed how the approach to SQ in undergraduate studies influences the selfconfidence of computer science graduates, considering its implications for professional performance and the application of good software development practices. The research was descriptive, with a quantitative approach, using an online questionnaire applied to professionals with IT degrees. The results revealed gaps in academic training related to course load, the integration of SQ content throughout the curriculum, and the predominance of a theoretical approach (53.3%), while 20% of respondents reported having no content on SQ during their undergraduate studies. In the professional context, these gaps negatively impact the reduction of failures, the reliability of systems, and the self-confidence of professionals. It is concluded that greater curricular integration and emphasis on practical activities strengthen QS in undergraduate studies, contributing to the training of more confident, technically prepared professionals capable of delivering higher quality software products, as evidenced by the fact that 76.7% of professionals currently consider themselves to have high or very high confidence when applying QS practices in their work. Tipo: TCC Thu, 01 Jan 2026 00:00:00 GMT http://repositorio.ufc.br/handle/riufc/84799 2026-01-01T00:00:00Z http://repositorio.ufc.br/handle/riufc/84787 Título: Código, pressão e burnout: a síndrome de burnout no ambiente de desenvolvimento de software Autor(es): Melo Filho, Carlos Aldrim Freire Abstract: This article analyzes the factors that contribute to the occurrence of Burnout Syndrome among software developers, considering organizational, professional, and psychosocial factors that impact mental health in the IT environment. The research adopted a descriptive, applied, and mixed-methods approach, with data collected through an online questionnaire applied to 70 professionals in the field, including both closed and open questions on sociodemographic profile, working conditions, Burnout dimensions, and coping strategies. The results reveal a high prevalence of emotional exhaustion, moderate depersonalization, and reduced professional accomplishment, associated with task overload, tight deadlines, extended working hours, and lack of recognition. The analysis indicates that productivity pressure, a high-competition culture, and imbalance between personal and professional life are central factors in the development of Burnout. Coping strategies suggested by participants include flexible working hours, realistic deadline planning, task redistribution, clear communication, professional recognition, and leadership training. It is concluded that preventing Burnout Syndrome requires structural organizational actions combined with individual measures, contributing to healthier, sustainable, and more humanized work environments in the context of software development. Tipo: TCC Thu, 01 Jan 2026 00:00:00 GMT http://repositorio.ufc.br/handle/riufc/84787 2026-01-01T00:00:00Z http://repositorio.ufc.br/handle/riufc/84644 Título: Carcará: sistema para integração de dados meteorológicos e hidrológicos no semiárido brasileiro Autor(es): Sales, Mikael Mota Feitosa Abstract: The Brazilian Semi-Arid region requires integrated access to meteorological and hydrological data to support environmental analyses and agricultural decision-making; however, this information is fragmented across multiple sources, with heterogeneous formats and low standardization. This work proposes Carcará, a system aimed at the automatic integration of data from sources such as INMET, ANA, and ERA5, covering data collection, standardization, storage, and availability. The solution is structured as an Extract, Transform, Load (ETL) pipeline composed of ingestion, messaging, a data lake, transformation, and loading into a data warehouse, orchestrated by a workflow manager. The system prioritizes scalability, traceability, and governance, enabling the consolidation of large data volumes with updates as they become available in the source repositories. As a result, an integrated dataset with 17,472 hourly records (192 timestamps) was generated, covering 44 municipalities, 8 states, and 91 reservoirs, with temporal alignment via a D−6 window (ERA5 lag); within the analyzed period, ERA5 achieved full coverage, ANA provided level/volume data for 58/91 reservoirs (63.7% of records), and INMET was the main completeness bottleneck (data for 20/44 municipalities and at least one meteorological field filled in 39.6% of records), validating end-to-end execution under real operational constraints; finally, the demonstrated applications include analyses of evaporative demand (RH vs. VPD), comparison of RH by state, drivers of PEV (SSRD, VPD, t2m, and WS), and the relationship between PEV and observed humidity, among others. Tipo: TCC Thu, 01 Jan 2026 00:00:00 GMT http://repositorio.ufc.br/handle/riufc/84644 2026-01-01T00:00:00Z http://repositorio.ufc.br/handle/riufc/80039 Título: Narrativa digital para estudantes no transtorno do espectro autista: um mapeamento sistemático da literatura Autor(es): Araujo, Francisca Cristiana Rodrigues Abstract: Autism Spectrum Disorder (ASD) is a neurobehavioral condition that influences social interaction and coexistence, requiring medical diagnosis and interdisciplinary treatment. It is observed that the learning process of children and adolescents with ASD is challenging when compared to their peers without the disorder, requiring specific approaches to meet the demands. In view of this, this research aimed to identify tools that use digital narratives as a teaching method for students with autism, as these narratives facilitate interaction and engagement, offering an innovative way to present information in an understandable and attractive way. To achieve this objective, a Systematic Literature Mapping (SLM) was carried out, addressing the digital narrative tools that contribute to the development of students with ASD. The mapping included the definition of inclusion and exclusion criteria for the selection of articles and the identification of relevant sources. Through an initial selection of 470 articles, of which 26 were classified for detailed analysis, allowing the extraction of data relevant to the defined research questions. As academic contributions, this research provides a mapping that reveals a diverse set of digital tools designed to promote innovative solutions to the challenges faced by students with Autism Spectrum Disorder (ASD). Tipo: TCC Wed, 01 Jan 2025 00:00:00 GMT http://repositorio.ufc.br/handle/riufc/80039 2025-01-01T00:00:00Z