[pt] Um dos principais desafios para a geração de malhas de quadriláteros é garantir o alinhamento dos elementos em relação às restrições do domínio. Malhas não alinhadas introduzem problemas numéricos em simulações que usam essas malhas como subdivisão do domínio. No entanto, não existe uma métrica de alinhamento para a avaliação de qualidade de malhas de quadriláteros. Um campo de direcionalidade representa a difusão das orientações das restrições no interior do domínio. Kowalski et al. usam um campo de direcionalidade para particionar o domínio em regiões quadrilaterais. Neste trabalho, reproduzimos o método de particionamento proposto por Kowalski et al. com algumas alterações, visando reduzir o número final de partições. Em seguida, propomos uma métrica para avaliar a qualidade de malhas de quadriláteros em relação ao alinhamento com as restrições do domínio. / [en] One of the main challenges in quadrilateral mesh generation is to ensure the alignment of the elements with respect to domain constraints. Unaligned meshes insert numerical problems in simulations that use these meshes as a domain discretization. However, there is no alignment metric for evaluating the quality of quadrilateral meshes. A directionality field represents the diffusion of the constraints orientation to the interior of the domain. Kowalski et al. use a directionality field for domain partitioning into quadrilateral regions. In this work, we reproduce their partitioning method with some modifications, aiming to reduce the final number of partitions. We also propose a metric to evaluate the quality of a quadrilateral mesh with respect to the alignment with domain constraints.

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Accuracy and efficiency are extremely critical factors for large real-time control applications. A small oversight can cause catastrophic failure of a real-time system. Thus, these applications have to be tested meticulously to prevent any catastrophe that might occur. But, testing these applications exhaustively is not tractable, mainly due to the inherent complexity of the applications and also the huge amount of inputs and outputs that these applications involve. In order to save valuable amounts of time and resources, automated testing is imperative. Also, quantitative metrics have to be provided that assess the existing quality of the system and help increase the confidence in the user towards the software. However, to improve the overall quality of the software, additional focused testing needs to be done. The work in this thesis involves providing specific test suggestions that help the user conduct thorough and precise domain tests based on the knowledge of the various parameters used in previous test runs. The information about the defective portions of the input domain is provided by dividing the input range into percentiles, which is referred to here as bucketing. The goal is to expose the exact inputs causing the defects and the range of inputs that have been lightly tested or left untested during previous tests. A Reliability Analysis Test Tool (RATT) was developed to implement these test suggestions.