Resumo

SORIA BARREDA, Liannis; ALMAGUER OCHOA, Manuel Ramón; DIAZ VERA, Julio Cesar  e  ARZA PEREZ, Lizandra. Generalization of Function Points method using fuzzy logic. Rev cuba cienc informat [online]. 2016, vol.10, n.1, pp.110-123. ISSN 2227-1899.

ABSTRACT In the last years it has increased the use of Function Point method for estimating software. Despite the good results achieved with this method, there are difficulties that affect the accuracy of the estimates, among these difficulties highlight the "cold start" and "rough limits". In this paper a generalization of the method Function Point is proposed by using fuzzy logic, which helps to mitigate the effect of "rough limits" and at the same time is able to operate effectively in situations where the organization don't have historic results about previous developments, so it is not affected this process by the "cold start". The effectiveness of the proposal is proven by an experiment in which the estimate is obtained using the classical method Function Points and the generalization proposed in a case study. The results achieved with the generalization showed to be closer to reality than estimates using the classical approach.

Palavras-chave : function point; fuzzy logic; rough limits; cold start.

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