Abstract
The purpose of this study is to develop a unified method for measuring and predicting the success of Agile IT projects based on machine learning approach. This method will allow project managers to monitor and control the development process at different stages of the project life cycle, while maximizing the benefits of software development using Agile approach. Project success measurement model has been developed and appropriate metrics were structured for use in the proposed method. The result is a machine learning method designed to evaluate the success of an Agile projects.
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