981 resultados para software management infrastructure


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Pós-graduação em Engenharia Elétrica - FEIS

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Pós-graduação em Engenharia Civil - FEIS

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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The software quality represents a more and more important attribute for the survival and growth of software industries. In order to ensure the quality of products manufactured, various practices have been incorporated into the development process. In this context, some successful software organizations have invested in an approach to human resource management, which consists in integrating the management activities with a personal process called Personal Software Process - PSP, which has led to the maintenance of greater discipline and control over all development phases. Given this, this work presents a proposal for integration of techniques set out in the PSP with a web system previously developed, which is called System to Aid Project Management - SAPM.

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Pós-graduação em Ciência da Computação - IBILCE

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O principal objetivo deste artigo é contribuir com a adoção do modelo de referência MPS para Software (MPS-SW). Para isso, é proposta uma ontologia dos níveis G e F do modelo, visando apoiar a compreensão e implementação desses níveis. O modelo MPS-SW é adequado a micro, pequenas e médias empresas (mPME), assim como a empresas de grande porte. A proposta pretende mitigar os investimentos técnicos e financeiros na implantação e treinamento do modelo, principalmente nas mPME. Neste contexto, este artigo apresenta a metodologia utilizada para o desenvolvimento da ontologia, com a inclusão de conhecimentos de especialistas no modelo, conceitos do PMBOK (Project Management Body of Knowledge) e indicadores do BSC (Balanced Scorecard). A partir de testes centrados no usuário, foi gerada uma versão beta da ontologia, que está disponível em repositórios livres e gratuitos.

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Family agriculture, mostly represented by rural settlements especially in the state of São Paulo, makes up rural establishments in Brazil. Current investigation collects, analyzes and compares data on farmers on two rural settlements in the western region of the state of São Paulo, specifically in the municipality of Rancharia, with regard to their socioeconomic, financial and productive infrastructure profile, coupled to information on eventual restrictions to rural credit, by an analysis based on descriptive statistics. Results show that there are different factors between farmers and production systems, which cause loan restrictions due to such differences as age, agricultural and cattle-breeding activity, technical assistance and management. The valorization of these differences should be taken into account for the construction of new events, without extremes, and work for situations featuring demand-based development and characteristics of the locality

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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The building budgeting quickly and accurately is a challenge faced by the companies in the sector. The cost estimation process is performed from the quantity takeoff and this process of quantification, historically, through the analysis of the project, scope of work and project information contained in 2D design, text files and spreadsheets. This method, in many cases, present itself flawed, influencing the making management decisions, once it is closely coupled to time and cost management. In this scenario, this work intends to make a critical analysis of conventional process of quantity takeoff, from the quantification through 2D designs, and with the use of the software Autodesk Revit 2016, which uses the concepts of building information modeling for automated quantity takeoff of 3D model construction. It is noted that the 3D modeling process should be aligned with the goals of budgeting. The use of BIM technology programs provides several benefits compared to traditional quantity takeoff process, representing gains in productivity, transparency and assertiveness

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The building budgeting quickly and accurately is a challenge faced by the companies in the sector. The cost estimation process is performed from the quantity takeoff and this process of quantification, historically, through the analysis of the project, scope of work and project information contained in 2D design, text files and spreadsheets. This method, in many cases, present itself flawed, influencing the making management decisions, once it is closely coupled to time and cost management. In this scenario, this work intends to make a critical analysis of conventional process of quantity takeoff, from the quantification through 2D designs, and with the use of the software Autodesk Revit 2016, which uses the concepts of building information modeling for automated quantity takeoff of 3D model construction. It is noted that the 3D modeling process should be aligned with the goals of budgeting. The use of BIM technology programs provides several benefits compared to traditional quantity takeoff process, representing gains in productivity, transparency and assertiveness

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Bound-constrained minimization is a subject of active research. To assess the performance of existent solvers, numerical evaluations and comparisons are carried on. Arbitrary decisions that may have a crucial effect on the conclusions of numerical experiments are highlighted in the present work. As a result, a detailed evaluation based on performance profiles is applied to the comparison of bound-constrained minimization solvers. Extensive numerical results are presented and analyzed.

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Abstract Introduction Several studies have shown that maximizing stroke volume (or increasing it until a plateau is reached) by volume loading during high-risk surgery may improve post-operative outcome. This goal could be achieved simply by minimizing the variation in arterial pulse pressure (ΔPP) induced by mechanical ventilation. We tested this hypothesis in a prospective, randomized, single-centre study. The primary endpoint was the length of postoperative stay in hospital. Methods Thirty-three patients undergoing high-risk surgery were randomized either to a control group (group C, n = 16) or to an intervention group (group I, n = 17). In group I, ΔPP was continuously monitored during surgery by a multiparameter bedside monitor and minimized to 10% or less by volume loading. Results Both groups were comparable in terms of demographic data, American Society of Anesthesiology score, type, and duration of surgery. During surgery, group I received more fluid than group C (4,618 ± 1,557 versus 1,694 ± 705 ml (mean ± SD), P < 0.0001), and ΔPP decreased from 22 ± 75 to 9 ± 1% (P < 0.05) in group I. The median duration of postoperative stay in hospital (7 versus 17 days, P < 0.01) was lower in group I than in group C. The number of postoperative complications per patient (1.4 ± 2.1 versus 3.9 ± 2.8, P < 0.05), as well as the median duration of mechanical ventilation (1 versus 5 days, P < 0.05) and stay in the intensive care unit (3 versus 9 days, P < 0.01) was also lower in group I. Conclusion Monitoring and minimizing ΔPP by volume loading during high-risk surgery improves postoperative outcome and decreases the length of stay in hospital. Trial registration NCT00479011