José-María Torralba-Martínez

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<b>Background:</b> Most prediction models, e.g. effort estimation, require preprocessing of data. Some datasets, such as ISBSG, contain data quality meta-data which can be used to filter out low quality cases from the analysis. However, an agreement has not been reached yet between researchers about these data quality selection criteria. <b>Aims:</b> This(More)
Background: Bayesian networks have been applied in many fields, including effort estimation in software engineering. Even though there are Bayesian inference algorithms than can handle continuous variables, performance tends to be better when these variables are discretized that when they are assumed to follow a specific distribution. On the other hand, the(More)
There are many quantitative estimation methods, e.g. linear regression, neural networks, regression trees. Compared to traditional methods, Bayesian networks are being increasingly used in software engineering because their use opens many possibilities. A main feature of Bayesian networks is their capability to combine data and expert knowledge. This paper(More)
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