GÉNÉRATION DE MODÈLES DE DISTRIBUTION AGILES INDÉPENDANTS DE LA LOCALISATION ÉVOLUTIVES ET PERSONNALISABLES

摘要

This disclosure relates to modeling an Agile team structure such that it aligns with Agile principles, achieve synergy and deliver intended business benefits. Current approach to modelling depends on unproven manually arrived patterns that do not predict benefits, are based on limited number of experts utilizing heuristics from personal experience. Once a working model is derived, it is refined over time which is a slow process with no verification of its effectiveness. In accordance with the present disclosure, scalable and customizable location independent Agile delivery models can be generated using a palette based user interface such that constraints are optimized. A pre-configured meta-model is chosen and the location independent model is generated given the constraints. A compliance indicator provides a degree of compliance with the Agile principles. The model is then evaluated using machine learning models that have been trained by leveraging a knowledge base of successfully implemented Agile models.