Metaheuristic optimization of multivariate adaptive regression splines for predicting the schedule of software projects

Abstract

A qualitative common perception of the software industry is that it finishes its projects late and over budget, whereas from a quantitative point of view, only 39 % of software projects are finished on time compared to the schedule when the project started. This low percentage has been attributed to factors such as unrealistic time frames and lack of… (More)
DOI: 10.1007/s00521-015-2003-z

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