7 research outputs found

    Evaluation of a Proposed Set of Usability Heuristics

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    The innovations proposed by the mobile phone market have grown steadily in recent years, along with the increasing complexity of the hardware, operating systems and applications available in this market. These changes bring new usability-related challenges that need to be considered during the application development process, as new forms of user-application interaction increasingly require behavioral adaptation. In this situation, usability is an important issue, which depends on usability factors such as the User, their characteristics and skills, the Task he intends to achieve and also the Context of Use in which the user and the application are inserted. The components of this set are detailed in a set of heuristics previous proposed that was evaluated through two heuristic evaluations, which allowed to incorporate improvements to the proposal. Furthermore, a set of 13 usability heuristics and 183 sub-heuristics were proposed, which, through heuristic evaluations, better results were evidenced. The proposal makes it easier for experts to find a greater number of usability problems, mostly of greater severity, compared to the proposal of Inostroza et al. As possible future work, further evaluations may be carried out to evaluate the proposal to include more experts in the field, as well as to use the set of heuristics in a larger number of applications of different categories

    Methods and metrics for estimating and planning agile software projects

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    Trabalho financiado pelo Edital DPI / DPG - UnB n° 02/2018 (Apoio à Publicação de Artigos em Anais de Eventos, resultantes de Pesquisa Científica, Tecnológica e de Inovação de servidores do Quadro da Universidade de Brasília).The nature of agile software projects is different from software projects that use traditional methodologies. Therefore, using traditional techniques of estimates of effort, time and cost can produce imprecise estimates. Several estimation techniques have been proposed by several authors and developers in recent years. This work performs a Systematic Literature Review (SLR) of current estimates practices in the development of agile software and the most used size metrics as inputs for these estimates, collecting and documenting them for a future comparison of their accuracy. With the realization of SLR, it was identified that Story Point and Point of Function are the most used metrics in agile projects as the basis for estimating size, time, effort, productivity and cost. Based on these two-size metrics, it was performed a case study with the estimation of effort, time and cost for an agile project of a software factory, where the actual development values were compared with the estimates made to analyze which provided the estimates that most closely approximated the actual values that were estimated

    Algoritmo de recomendação de presentes em dispositivos móveis

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    Trabalho de Conclusão de Curso (graduação)—Universidade de Brasília, Faculdade UnB Gama, 2017.O crescimento do mercado de aplicações para dispositivos móveis e de vendas do mercado de e-commerce vem aumentado constantemente, aliado com o crescimento de estudos e soluções de recomendação de produtos implementados nos sistemas e-commerce. Neste contexto, este Trabalho de Conclusão de Curso propõe um algoritmo de recomendação de presentes em dispositivos móveis baseado no framework COREL. O algoritmo de recomendação proposto é uma customização do COREL, tomando como base a complexidade de implementação associada à aplicativos móveis para iOS. Portanto, este trabalho objetiva customizar um algoritmo de recomendação de presentes no contexto de dispositivos móveis utilizando como insumo principal as preferências do usuário para a recomendação de presentes no aplicativo Giftr.The mobile application market and the sales of the e-commerce have been growing steadily, also with the growth of studies and products recommendation solutions implemented in the e-commerce systems. In this context, this paper proposes a recommendation algorithm for mobile devices based on the COREL framework. The proposed recommendation algorithm is a customization of the COREL framework, based on the implementation complexity associated with iOS mobile applications. Therefore, this work aims to customize a gift recommendation algorithm in the context of mobile devices using as main input the user preferences for the recommendation of gifts in the Giftr application

    Set of usability heuristics for quality assessment of mobile applications on smartphones

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    The innovations proposed by the cell phone market have grown steadily in recent years, along with the increasing complexity of the hardware, operating systems, and applications available in this market. These changes bring new challenges related to usability that need to be considered during the development process of these applications since the new forms of user-application interactions increasingly require adapting the behavior of smartphone users. In this situation, usability is an important issue that depends on factors such as the Users, their characteristics and abilities, the Task which the users intend to achieve and also the application usage Context. This work presents a systematic literature review with the objective of identifying the heuristics and usability metrics used in the literature and/or industry. Based on the review results, this work presents another contribution with a proposal of a set of usability heuristics focused in mobile applications on smartphones, considering the User, Task and Context as usability factors and Cognitive Load as an important attribute of usability. The components of this set are detailed in a model intended to be used in empirical validations allowing to dynamically incorporate improvements to the proposal

    Products Recommendation for Mobile Devices

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    The mobile application market and e-commerce sales have grown steadily, along with the growth of studies and product recommendation solutions implemented in e-commerce systems. In this context, this paper proposes a recommendation algorithm for mobile devices based on the COREL (CustOmer purchase pREdiction modeL) framework. The proposed recommendation algorithm is a customization of the COREL framework, based on the complexity of the implementation associated with iOS mobile applications. Therefore, this work aims to customize a gift recommendation algorithm in the context of mobile devices using as main input the user preferences for the gifts recommendation in the Giftr application

    Best Practices Kits for the ICT Governance Process within the Secretariat of State-Owned Companies of Brazil and Regarding these Public Companies

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    This article introduces an Information and Communication Technology Governance Kit to be used by the Brazilian Secretariat of Coordination and Governance of State Enterprises (in Portuguese, Secretaria de Coordenação e Governança das Empresas Estatais—SEST) in regards to its governed companies. The proposed kit is an instrument of targeting, which presents a set of best practices and conditioning aimed at the development and implementation of improvements in the management of ICT resources by Brazilian state-owned companies that are controlled by SEST. The proposed kit comprises three situation scenarios and four maturity levels. For each proposed process, the artifacts and templates are presented for the controlled companies to implement their respective processes so that these companies guide the improvements in their ICT governance maturity level. Considering that SEST is the principal entity in this governance structure, the main contribution of the proposed kits is to facilitate, guide and improve the maturity level of all Brazilian state-owned enterprises
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