Improving Systems Engineering Project Outcomes through Predictive Analytics

Speaker: Gina Guillaume-Joseph
Venue: Tour Speaker; she gives her talk in Helsinki, Stockholm, Copenhagen, Hamburg, and Warsaw.

The complex and emergent behavior of software systems makes information and data key components of this unpredictable environment. The use of a data-driven approach to identify and to accurately predict the sources of software project delays, cost overruns, failures, or successes may prove a significant contribution to the fields of systems engineering, software development and project management. Software project failures are pervasive and despite the research, failures still persist. The research presented highlights 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 government and commercial space.