Improving software project outcomes through predictive analytics: Part 2
Gina Guillaume‐Joseph, James S. Wasek · IEEE Engineering Management Review · 2015
This paper deals with the systems mindset in addressing failure to introduce a software-specific predictive analytics model that accurately predicts software project outcomes of failure or success and identifies opportunities for incorporation in the federal and commercial space. The results of the model would be used during acquisition, prior to project initiation, and throughout the software development lifecycle. It is a decision analysis tool to assist decision makers in making the crucial decisions early in the lifecycle to cancel a project predicted of failure or to identify and implement mitigation strategies to improve project outcome.