A framework to succeed planning of IT projects through the Machine Learning

Abstract

This discuss the issue of planning IT projects. To identify the key failure factors of this phase, we carried out a direct observation with IT development companies in order to extract as much information as possible and to identify these factors very quickly. This observation allowed us to identify these factors, analyse them, propose solutions to countermeasure them, and finally test the different proposed solutions. The experimentation of the solutions allowed us to sort them, organize them by themes and develop them as they went along, to finish with the proposal of a complete framework to overcome the problems of IT project failure in the planning phase. The global solution therefore makes it possible to connect the proposed Framework with the machine learning. In order to carry out the planning on the one hand based on the Framework, and to test the planning carried out on the other hand using the Learning machine, and then to have a complete planning allowing the success of the project to be implemented.