http://repositorio.ufc.br/handle/riufc/533 Tue, 21 Apr 2026 17:09:35 GMT 2026-04-21T17:09:35Z https://repositorio.ufc.br:443/ri/retrieve/450a26d4-61c6-4c8f-bdb8-a92e21c8ce8e/Comunidade_CQUIXADA_RI-moldurado.jpg http://repositorio.ufc.br/handle/riufc/533 http://repositorio.ufc.br/handle/riufc/85336 Título: Recomendações para o desenvolvimento de sistemas para pessoas surdas Autor(es): Silva, Lucas de Oliveira da Abstract: This work addresses the challenge of developing effective and inclusive computational systems for the Deaf community, which is often underrepresented in design processes. The research investigates how to actively integrate Deaf individuals into the system lifecycle, respecting their communicational and cultural specificities, through Participatory Design (PD). The main objective was to propose, apply, and evaluate a set of recommendations – called the "Guia da Lilla"– to support development teams in designing systems that are accessible and user-centered for Deaf users. The adopted methodology included a Systematic Literature Review (SLR) to map challenges, methods, practices, and requirements; an analysis of the practical experience of the startup Bilíngua; the iterative development of the Guia da Lilla in both textual and interactive digital formats; and its evaluation in two stages: an investigative analysis with experts and an exploratory study applying the Guide in the real development of a governmental management platform, involving Deaf and hearing participants in PD sessions and interviews. The results identified crucial challenges in applying PD with the Deaf community, such as communication barriers and the need for cultural and methodological adaptation, while also consolidating essential Human-Computer Interaction (HCI) practices, such as prioritizing visual elements and providing multimodal feedback. The practical application demonstrated the usefulness of the Guia da Lilla as a structuring tool in the PD process, resulting in concrete accessibility improvements in the developed system and the effective inclusion of Deaf individuals as the system’s primary focus. It is concluded that PD is fundamental for creating inclusive technologies, and the Guia da Lilla represents the main contribution of this research, offering a validated methodological resource for developing systems WITH and FOR the Deaf community. Tipo: Dissertação Wed, 01 Jan 2025 00:00:00 GMT http://repositorio.ufc.br/handle/riufc/85336 2025-01-01T00:00:00Z http://repositorio.ufc.br/handle/riufc/84668 Título: AromaLIA: a language-independent approach to detect test smells Autor(es): Silva, Publio Blenilio Tavares Abstract: Test smells are indicators of poor practices or suboptimal decisions made during test-code development, which can undermine its maintainability and evolution. This topic has gained increasing relevance in recent years, and numerous studies have proposed techniques to detect test smells. However, most existing solutions support only a very limited set of programming languages, often just one. As a result, applying test smell detection to a new language typically requires developing an entirely new solution, even when similar problems have already been addressed elsewhere. In this context, the objective of this work is to propose a languageindependent approach for detecting test smells. To understand how this topic has been explored in the literature, we conducted a Systematic Mapping Study (SMS) analyzing 117 studies published up to August 2025. From this review, we identified, among other aspects, the most frequently discussed test smells across multiple programming languages and those considered most critical, that is, the ones that require the greatest attention from the community. Based on these findings, we developed our approach and evaluated its effectiveness in C#, Java, JavaScript, TypeScript, and Python across 10 different test smells, comparing it with existing language-specific techniques. The results were promissing: our solution demonstrated superior effectiveness, achieving 97% precision, 96% recall, and a 97% F1-score. To support practical adoption, we also implemented and released a test smell detection tool built upon our languageindependent methodology. The outcomes of this work have the potential to greatly simplify the incorporation of new programming languages into test smell detection workflows, enabling the reuse of prior efforts across diverse ecosystems. This benefits both industry practitioners seeking high-quality testing tools and researchers interested in studying test smells in additional languages. Tipo: Dissertação Wed, 01 Jan 2025 00:00:00 GMT http://repositorio.ufc.br/handle/riufc/84668 2025-01-01T00:00:00Z http://repositorio.ufc.br/handle/riufc/84666 Título: Extração de requisitos de software a partir de comentários de aplicativos por grandes modelos de linguagem e orquestração de agentes Autor(es): Farias, Pedro Paulo de Sales Abstract: The study investigates the extraction of software requirements using LLM-based resources from user comments published in application store platforms, considering the classical challenges of Requirements Engineering, such as ambiguity, duplicated text and linguistic variation. It is well known that modern computational systems have a global reach, which magnifies cultural and semantic differences, compromising requirement quality and increasing costs, rework, and project risks. In this context, the study addresses four main questions: the feasibility of extracting requirements directly from user comments; the possibility of automating this process through software agents; the construction of an agent workflow to support Requirements Engineering; and the quality of the extracted requirements. To address these questions, our work proposes the integrated use of Natural Language Processing models, Large Language Models (LLMs), and CrewAI agent-orchestration techniques, assessing their ability to identify, structure, and validate functional and non-functional requirements. Finally, we highlight that recent advances in AI offer promising avenues for reducing manual effort, mitigating ambiguities, and enhancing the systematisation of Requirements Engineering. Tipo: Dissertação Wed, 01 Jan 2025 00:00:00 GMT http://repositorio.ufc.br/handle/riufc/84666 2025-01-01T00:00:00Z http://repositorio.ufc.br/handle/riufc/84143 Título: Um modelo para suporte à gestão de riscos de segurança da informação em serviços de TIC com base na simulação de Monte Carlo Autor(es): Lima, Ryan Saymon de Araújo e Abstract: With the increasing use of IT services worldwide, there is a growing need to protect these services against security threats. Identifying vulnerabilities and assessing the risks to which these services are exposed has become an essential requirement. Organizations must effectively manage IT security risks, yet the decision-making process regarding risk prioritization and mitigation strategies often relies heavily on the experience of managers and specialists. Such practices should take into account the potential business impact of these risks. Therefore, the development of new models and methodologies for IT risk management is a crucial demand in the field. This research proposes the development of a decision-support model for information security risk management, using a Monte Carlo simulation-based approach. The expected outcome of this research is to provide an effective framework for supporting information security risk management processes within organizations. Tipo: Dissertação Wed, 01 Jan 2025 00:00:00 GMT http://repositorio.ufc.br/handle/riufc/84143 2025-01-01T00:00:00Z