José-María Torralba-Martínez

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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)
<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)
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