Comparação de técnicas de classificação para predição de esforço no desenvolvimento de software

Abstract

A goal of activity development is critical in software development, and it is critical for the software to be delivered with quality without estimated timeframe. Estimates were taken from the project houses because they were planned in the one-year forecast, although they were facilitated by not being more stringent in the time of development of the activity, while those involving development time tended to be the more assertive in the semester demand more time and more the whole external forecasting process. The work was presented as the learning of auxiliary machines in an automated way in the times in which the improvement of movement diminished the time necessary for its accomplishment. Through the experiments were obtained results that validated the feasibility of the technique used for the extraction of characteristics and classifications in the effort estimate of the textual description of the activities. The values of the classifers range from 31% to 33% of the F-measure.