U.S. Leadership in Software Engineering & AI Engineering: Critical Needs & Priorities Workshop Report

To inform a community strategy for building and maintaining U.S. leadership in software engineering and AI engineering, the Carnegie Mellon University's Software Engineering Institute (CMU SEI) and the Software Productivity, Sustainability, and Quality (SPSQ) Interagency Working Group co-hosted the workshop at the National Science Foundation from June 20th to the 21st, 2023. The event gathered thought leaders from federal research funding agencies, research laboratories, mission agencies, and commercial organizations. Participants used the SEI’s Architecting the Future of Software Engineering: A National Agenda for Software Engineering Research and Development1 as a starting point because the areas of focus that the study identifies have been confirmed as increasingly critical, particularly due to the rapid advances of generative artificial intelligence (AI) in the two years since its release. Specifically, participants identified the following three research areas from the study as having direct relevance: AI-augmented Software Development, Assuring Continuously Evolving Software Systems, and Engineering AI-Enabled Software Systems...

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