NASA’s software discipline is actively evolving with a focus on understanding automation risks, employing AI and machine learning techniques, and improving software processes. Recent studies have highlighted the need for better engineering to minimize software errors and improve resilience. The agency is also leveraging AI/ML for tasks like image recognition and atmospheric predictions, enhancing data analysis capabilities. Furthermore, the Code Analysis Pipeline (CAP) has been introduced to support software quality improvement across various programs. NASA continues to share best practices and knowledge through training classes and handbooks, ensuring that software engineering efforts are well-managed and aligned with the agency’s requirements and goals. This comprehensive approach aims to maintain NASA’s leading edge in software engineering and assurance, contributing to the success of its missions and projects.
Reference: nasa.gov
