Obtención y Validación de Modelos de Estimación de Software Mediante Técnicas de Minería de Datos

Based upon the necessity of achieving objective data that allow evaluation, forecast and improvement of software quality as well as the time and cost of the project, software measurement is strongly increasing in importance. Metrics are particularly useful when they are used upon early-stages software models, since the obtained results allow an accurate control of the project across of the development and, additionally, to solve possible deviations immediately. At present, metrics proliferation and the huge volume of data needed have displayed that the classic data analysis techniques are not sufficient in order to obtain the desired objectives. In the present study the way in which the new techniques of data mining may be used on the construction and validation of software engineering models is shown, by means of a drastic change of the traditional verification oriented data analysis in an approach focused on the knowledge discovery.