Abstract
Due to the variability of variables, the estimation of effort in software development is considered as a very difficult task. Maybe due to small databases, uncertain and very subjective information. For these reason, in this paper, we introduce a study of the effect of variables in the software development effort estimation process. The estimation employing lines of codes, function points and engineering task, were taken as reference. With the use of datamining and machine learning technics, were demonstrated that the effort estimation using engineering task is more accurate. And, by the other hand, was established the influence of each variable, in the software development effort estimation process.
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