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Most research works have found that an important root cause of software project failure comes from the requirements; their quality has an important impact over other artifacts. As the requirements are expressed in natural language, they can be an important source of defects. Aspects such as non ambiguity, completeness, and atomicity can be affected due the(More)
The aim of this prospective study was to determine the rate of recurrence for spontaneous pneumothorax (SP) after tetracycline pleurodesis (TCP), using that of observation, tube thoracostomy alone, and thoracotomy as references. From 1985 to the end of 1991, 78 patients were treated with tetracycline pleurodesis and 135 patients served as control subjects.(More)
The object of this study was to evaluate the viral factor, especially the quasispecies, as predictive of sustained virologic response. We studied the quasispecies, genotype, viral load, and hepatitis C (HCV) cAg in 41 patients with chronic hepatitis C treated with interferon and in 84 with interferon and ribavirin. In the interferon group, responders(More)
Most software applications are derived from customer needs, which mainly are expressed as functional requirements. These requirements are the basis for software construction. Identifying user actions, system actions, inputs and outputs from functional requirements, is a fundamental task for deriving usability aspects. In this paper we present a proposal for(More)
Project-based learning approach is focused in preparing students to work in industry. In traditional academic environments, it is difficult to reproduce real scenarios such as in industry. Software Engineering courses require practice and learning hands-on, however, with such limitations in academy, it is not easy to develop the competences to work in real(More)
The Spanish data collection was consistent with the overall study design and drew from three groups: laboring women, children and elderly patients. The Valencia data was amongst the most detailed, specific and complete in this international study. This is most likely due to the experienced nature of the Spanish research team. The study results revealed more(More)
The key idea behind feature selection is to find a subset of features that produce similar or better results as the original set while being more compact. Algorithms in this topic can be grouped in filter, wrapper and hybrid, however for very high dimensional data it has been found that the filter approach is better due to being less computational(More)