SBIR-STTR Award

As a breakthrough enabling technology, artificial intelligence (AI) and machine learning (ML) can make verifying and complying with standards nearly invisible to a development team, giving clear metrics to quality authorities. Coding and required interfaces are established on many different factors, such as integrated development environments (IDEs) that comprise the differences in the codebase over time. The codebase needs to set a strong foundation, prepare for growth, and scale to decrease government spending resulting from loss of intellectual property and repeat development. ASSURE (Artificial Intelligence for Software Submission Requirements) will identify innovative methods for automated auditing to run in parallel with DoD software development environments. Approved for Public Release | 21-MDA-11013 (19 Nov 21)

As the Missile Defense System (MDS) codebase grows, it is essential to establish a strategy to automate the verification of software compliance with standards. As breakthrough-enabling technologies, AI and ML can make verifying and complying with standards nearly invisible to the development team, giving clear metrics to quality authorities. The codebase needs to follow the MDA Assurance Provisions (MAP) standards to set a solid foundation and prepare the system for growth and ease of integration, decreasing government spending. ASSURE (Artificial Intelligence for Software SUbmission REquirements) has identified innovative methods for automated auditing in Phase I. During Phase II a prototype will be developed to run in parallel with MDS development environments. Approved for Public Release | 22-MDA-11340 (16 Dec 22)