Improvements In The Decision Making In Software Projects

Abstract

The Simulators of Software Development Projects based on dynamic models have supposed a significant advance in front of the traditional techniques of estimate. These simulators enable to know the evolution of a project before, during and after the execution of the same one. But its use in the estimate of the project before beginning the execution, has been braked by the great number of attributes of the project that it is necessary to know previously. In this paper are presented the improvements that have been added to the simulator developed in our department to facilitate the use of them, and a new improvement obtained when using machine learning and fuzzy logic techniques with the databases generated by the simulator. In this last case, the project manager can know, in function of the decisions that he takes, the level of execution of the project objectives.