Navegando por Assunto "Interfaces de usuário (Sistemas de computação)"

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Análise comparativa de métodos de aprendizado supervisionado para mineração de opinião dos usuários da plataforma de e-participação votenaweb
(2019) Nascimento, Eliaquim Moreira do; Souza, Ellen Polliana Ramos; Santos, Diego George da Silva; http://lattes.cnpq.br/1433346297212674; http://lattes.cnpq.br/6593918610781356; http://lattes.cnpq.br/6033431769198675
With the help of information technologies, it is possible that the media and participatory media are recognized as democratic and participatory, as well as the participation and collaboration platforms, also known as e-participation and e-collaboration. However, although it is a problem, it is necessary to have a broader view on the perspectives, it is a process that is not analyzed and does not have a process of presentation or bill. It is impossible to be human completely in all content in a reasonable amount of time What has sparked an interest in the community of systems able to obtain additional information about the data type automatically. Opinion mining, also known as sentiment analysis, is an area of study that analyzes people’s feelings and opinions about entities, such as products and services, unstructured formal expressions, such as text, for example. This study, this investigate the case of the class comparator and technique to pre-processing the reviews of users of topics-and-collaboration and e-collations available for the Brazilian citizens. As this article was published, it was published in the magazine Aplications of the portal VOTENAWEB, in view of what is widely used, in addition to allowing publications to comment on a set of projects. Supervised learning algorithms with data preprocessing techniques were evaluated: storpwords removal, keywords, N-gram, TF-IDF and word embedding, a set of instructions for keyword mining. . The linear regression algorithm was the best result with accuracy of 88.22% and f-measure of 87.07%, while the deep learning of the old meaning was accuracy of 84.96% and f-measure of 84.90%.
Avaliação heurística baseada nos 10 princípios de usabilidade de Jakob Nielsen
(2023-11-23) Dias, Karina Teixeira; Araújo Filho, Mironaldo Borges de; http://lattes.cnpq.br/4535402164652924; http://lattes.cnpq.br/3720969574339252
This work aims to identify usability errors in the service platform of the Department of Transit of the State of Pernambuco (DETRAN-PE), through a heuristic evaluation. According to related references, heuristic evaluation was based on Jakob Nielsen's ten usability principles. Errors were classified according to the degree of severity. As a consequence, proposals for solutions were presented in order to remedy the errors identified.
Um sistema de apoio à decisão para priorização e estruturação de histórias de usuários: um suporte para equipe ágeis
(2018-08) Calado, Alex Rogério da Silva; Garrozi, Cícero; Sampaio, Suzana Cândido de Barros; http://lattes.cnpq.br/0066131495297081; http://lattes.cnpq.br/0488054917286587; http://lattes.cnpq.br/1189807442146524
Despite the advances obtained in the Software Engineering with agile methods the market still shows successful rates in unsatisfactory projects. Throughout a software project, changing requirement and priority are unavoidable and recurrent. This is an important factor to the software development businesses mainly small ones with limited resources. The usage of agile techniques such as Scrum and User Stories (US) benefits the businesses and make them more competitive. One of the problems faced with agile requirements is to obtain a prioritization of secure US according to the business value given by the client in agreement with technical specifications. This paper proposes to present an essay that serves as basis to the construction of a decision support tool to the US prioritization decisions. For such was considered a software project as a temporary organization and suggested metrics that best suits the needs of small teams avoiding reworks, the increasing in the deadlines and costs, without disregarding the client satisfaction in interactive deliveries. Based on the Volere requirements template and in the literature review it was proposed the adoption of five metrics to be considered in the prioritization of the User Stories: the client satisfaction in receiving the US and the client dissatisfaction in not receiving it; replacing the traditional value of business; the so usual complexity; the necessity of team learning and; software risks. Using online forms were captured data about these metrics and the prioritization given to each US in software projects that uses the agile Scrum method. Decision Tree was the proposed suggestion for predicting the US prioritization for having a practical visualization and a more intuitive interpretation, facilitating the acceptance as a decision method support for professionals involved in the area. In spite of the low databases volume the results obtained through the Weka tool, like the precision and the ROC curve, were satisfactory without prediction tendencies and with good indexes of correctness, after the algorithms and databases adjustments avoiding overfitting and underfitting.