https://repositorio.ufba.br/handle/ri/34108 Fri, 17 Apr 2026 18:55:47 GMT 2026-04-17T18:55:47Z http://repositorio.ufba.br:80/xmlui/bitstream/id/8ecf6462-207a-4f22-b671-b17a044c49e8/logo_dcc_1.png https://repositorio.ufba.br/handle/ri/34108 https://repositorio.ufba.br/handle/ri/44334 Process checklist: checklist orientado à transparência para inspeção de processos BPMN Santos, Juliana Conceição Maciel, Rita Suzana Pitangueira In recent years there has been an interest in quality assurance processes for Process models in BPMN. This can be achieved through inspection, a static analysis technique that demonstrates potential for identifying problems in software artifacts. Inspection of process models with checklists, although still little explored in the process literature, is an important instrument to support the inspection process in detecting defects, aiming at the quality of the artifacts. The complexity of process models, the lack of studies on inspection performed by humans and the search for quality of the models have driven this research, focusing on quality Transparency. The transparency of BPMN models contributes to the description of process models, improving understanding and comprehension, benefiting not only internal efficiency such as management and communication, but also resulting in strategic benefits, such as good reputation, credibility and the sharing of quality information. Thus, by evaluating the items of the checklist that supports the assessment of the quality of the models, systematically and adding the knowledge of the Transparency Catalog, in the checklist of an organization in the justice sector, opportunities were identified to evolve the practices of verification of process models in BPMN. This master's dissertation aims to propose a Checklist (Process Checklist), an inspection tool focused on transparency, to enhance the quality of process models in BPMN, identifying quality problems in the model. For this purpose, a literature review was initially carried out to identify studies on inspection of BPMN process models. The checklist, developed for human use, was evaluated anonymously by process modeling experts. Based on the results of the first evaluation of the usability, efficiency and effectiveness of the Process Checklist, carried out by five experts, opportunities for improvement were identified that were implemented to ensure transparent, objective, reliable and quality process models. In the second performance evaluation, the Process Checklist was more effective in ensuring model quality compared to BPCheck. Universidade Federal da Bahia Dissertação Thu, 05 Jun 2025 00:00:00 GMT https://repositorio.ufba.br/handle/ri/44334 2025-06-05T00:00:00Z https://repositorio.ufba.br/handle/ri/44167 Interoperabilidade organizacional no contexto dos sistemas de sistemas de informação: uma abordagem colaborativa. Proencia, Edlane Cristine dos Santos Maciel, Rita Suzana Pitangueira The interaction among independent, heterogeneous, and dynamic systems in Systems of Information Systems (SoIS) imposes significant challenges, especially at the level of Organizational Interoperability. To achieve this interoperability, aligning business processes across organizations is fundamental. Business Process Management (BPM) approaches are essential tools for this alignment, but existing solutions fail in collaborative contexts where participants can join and leave at any time, without central management. Given this gap, the main objective of this work was to develop a BPM-based solution to support Organizational Interoperability in collaborative SoIS. The main contribution was the specification of a metamodel that provides a management structure. This metamodel enables modeling collaborative business processes and addresses the entry and exit dynamics of participants by formalizing the explicit separation between Role (the abstract function responsible for the process) and Participant (the concrete and dynamic organizational instance that executes it). Additionally, the solution allows the definition of the Interoperability Links (technical and sociotechnical) required for interactions and communications between roles, ensuring that collaboration requirements are explicit. The solution’s applicability was evaluated through its implementation in a semi-automated simulation environment instantiated in three domains (e-commerce, health plan, and public security). The results validated the approach, demonstrating adaptability upon the entry of new participants and resilience upon exit, through Role-based rerouting. It is concluded that the solution offers a viable model to manage participant dynamics, providing the transparency and resilience mechanisms necessary for Organizational Interoperability in collaborative SoIS. Universidade Federal da Bahia Dissertação Mon, 15 Dec 2025 00:00:00 GMT https://repositorio.ufba.br/handle/ri/44167 2025-12-15T00:00:00Z https://repositorio.ufba.br/handle/ri/44141 Integrating confidence into embedding-based models for learn-to-rank in recommender systems. Joel, Machado Pires Durão, Frederico Araújo Recommender systems (RecSys) enhance information retrieval efficiency across different domains by delivering personalized content that aligns with user preferences. These systems address user-item relationships through methods like matrix factorization and graph attention networks (GAT). Despite advancements in accuracy, existing approaches often narrowly focus on predictive performance while neglecting the broader utility of confidence estimation. This estimation is crucial for quantifying the certainty behind recommendations, particularly in situations where a balance between risk and reward is required. RecSys can mitigate uncertainties stemming from data noise and model limitations by utilizing confidence. Existing approaches to confidence integration face critical limitations. Non-parametric techniques, such as neural network-based probabilistic calibration, remain confined to classification tasks, failing to address regression scenarios, including rating prediction and listwise learn-to-rank. Many confidence models operate independently of core recommendation processes, limiting their adaptability and calibration impact. Notably, the literature neglects the integration of confidence into GAT-based models. Additionally, the literature lacks experimental evaluation of different distribution-based methods. Therefore, this study proposes an experimental evaluation of previous distribution-based methods and explores a suitable confidence integration in GAT-based models. We evaluate four prior solutions in terms of rating prediction accuracy, ranking accuracy, and confidence correlation with error. These solutions and our proposal are evaluated in public datasets from varying contexts and characteristics. Results reveal that distribution-based confidence integration often harms models' accuracy and leaves room for improvement regarding the correlation between confidence and error. Although these findings also hold for our method, it still achieves superior performance compared to all prior solutions and shows promising results in terms of negative confidence–error correlation. Furthermore, as a second part of this study, we propose and evaluate the integration of confidence into embedding models for learn-to-rank methods. This proposal and its baselines are also evaluated across various public datasets, using different ranking metrics, and the correlation with confidence and error. The results reveal that both proposed methods consistently demonstrate competitive rank performances and even outperform the baselines in some datasets. Specifically, the proposed confidence integration for rating prediction achieved improvements of at least 58.16% in ranking metrics on the Amazon Movies and TVs, 34.94% on the Jester Joke, and 42.98% on the MovieLens dataset. Additionally, we observed a cubic polynomial relationship between confidence and error in this latter solution. Universidade Federal da Bahia Dissertação Tue, 20 Jan 2026 00:00:00 GMT https://repositorio.ufba.br/handle/ri/44141 2026-01-20T00:00:00Z https://repositorio.ufba.br/handle/ri/44140 Integrando a blockchain à cadeia de produção por meio de IoT: caso de uso da indústria do cacau. Abijaude, Jauberth Weyll Lima, George Marconi de Araújo This dissertation presents the development of an innovative technological artifact that integrates Internet of Things (IoT) devices, blockchain technology, and a service-oriented middleware to enable the traceability and automated control of the fermentation and drying processes of fine cocoa. The work begins with a contextualization of the subject, followed by a conceptual and technical review of the fundamentals of IoT, consensus protocols used in blockchains, and architectural models that support the efficient integration of IoT and blockchain systems. Within this context, both functional and non-functional requirements are analyzed, particularly those enabling the adoption of blockchain solutions in computationally constrained environments, which are typical in IoT scenarios. Subsequently, the development of a service-oriented middleware is described. This middleware supports semantic interoperability through the use of ontologies and is designed to ensure compatibility among heterogeneous devices. It offers APIs based on the REST architectural style, which were adapted to emulate the behavior of SNMP (Simple Network Management Protocol) messages. This approach led to a significant reduction in message exchange and computational resource consumption. Additionally, the dissertation describes the distributed applications developed to configure and manage the control of fermentation and drying actions, supported by custom-designed IoT hardware specifically built for this purpose. The data captured by the sensors are pre-processed and forwarded to the middleware, which then records them in smart contracts deployed on the Ethereum blockchain, thus ensuring the process benefits from the inherent immutability, auditability, and reliability provided by blockchain technology. The thesis also presents a contextual overview of the cocoa-producing region of Southern Bahia, discussing the challenges and opportunities associated with the adoption of Agriculture 4.0 technologies. As part of the evaluation of the proposed solution, a proof of concept was developed, demonstrating key results such as computational resource savings, messaging efficiency, and reliability in data traceability. Finally, it is worth noting that beyond its applicability in the cocoa sector, the developed middleware has the potential to be extended to other domains, such as asset inventory control and water resource management, thus demonstrating the versatility and robustness of the proposed architecture. Universidade Federal da Bahia Tese Tue, 30 Sep 2025 00:00:00 GMT https://repositorio.ufba.br/handle/ri/44140 2025-09-30T00:00:00Z