Relevant Image Management Algorithm Development for Mission Based Testing in the Cloud

The effort of this reach back SBIR is intended to provide research and development that will allow Mission Based Testing (MBT) to execute in a cloud-based environment against multiple A-RCI software baselines.  This is a new domain space for the A-RCI program as legacy and current virtualized sonar baselines will be accessible to users over a secure web-based environment.  The focus of the automated test methodologies that will be applied to A-RCI is the utilization of Model Based System Engineering (MBSE) and Development (MBSD) in the form of Mission Based Testing.  The MBSE methodology provides an automated analysis capability based on a model of the intended system behavior.  The automated analysis executes against system data that is provided either from a playback of recorded data or parsed real-time during system execution.   Increased access to the sonar virtualized systems coupled with the automated test execution of those systems results in extremely large data set generation.  These data sets include screen captures, message data, system data, etc.  In order to manage all the data involved with MBT in the cloud, this effort also aims to utilize automation and Machine Learning (ML) to employ data retention and purging algorithms of the system data.