F-effort: a fuzzified model of software effort estimation
K.K. Aggarwal, Yogesh Pal Singh, Jitender Kumar Chhabra · Journal of Discrete Mathematical Sciences and Cryptography · 2004
Estimation of effort and resources for a software project is required for planning purposes in very early stages of development. The traditionally used models to estimate effort need very accurate inputs and result in a very precise value, but it leads to a number of problems such as over commitment, which have not been overcome by these models. The reason for these problems lies with the imprecision and vagueness present in various stages of this estimation. In this paper, we have proposed a new model named as F-Effort model, which is a generalization of COCOMO model. The size of the software is estimated as a fuzzy set and the imprecision of complexity is managed with help of fuzzy logic. The F-Effort model has got two phases. First phase uses the complexity of the software to estimate two input parameters, and second phase uses these input parameters along with size to estimate the effort. The model is able to generate the effort estimation either as a crisp value along with degree of possible variation or as a fuzzy set.