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Report to the Congressional Defense Committees on National Defense Authorization Act (NDAA) for Fiscal Year 2022 Section 835 Independent Study on Technical Debt in Software-Intensive Systems

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A team from Carnegie Mellon University’s Software Engineering Institute (SEI) conducted an independent study to satisfy the requirements of the Fiscal Year 2022 National Defense Authorization Act (NDAA) Section 835, Independent Study on Technical Debt in Software-Intensive Systems. This report describes the conduct of the study, summarizes the technical trends observed, and presents the resulting recommendations. The study methodology includes a literature review, a review of SEI reports developed for program stakeholders, deep dives on program data from SEI engagements with Department of Defense (DoD) programs, and interviews conducted using the 10 study elements specified in Section 835(b).  The study concludes that programs are aware of the importance of managing technical debt. Furthermore, a number of DoD programs have established practices to actively manage technical debt. During this study, the DoD published several guidance documents that begin to include technical debt and technical debt management as an essential practice for successful software development. Study recommendations include that the DoD must continue to update policy/guidance and empower programs to incorporate technical debt practices as part of their software development activities while enabling research in improved tool support and data collection. 

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Publisher Statement

This material is based upon work funded and supported by the Department of Defense under Contract No. FA8702-15-D-0002 with Carnegie Mellon University for the operation of the Software Engineering Institute, a federally funded research and development center. The view, opinions, and/or findings contained in this material are those of the author(s) and should not be construed as an official Government position, policy, or decision, unless designated by other documentation. References herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise, does not necessarily constitute or imply its endorsement, recommendation, or favoring by Carnegie Mellon University or its Software Engineering Institute. This report was prepared for the SEI Administrative Agent AFLCMC/AZS 5 Eglin Street Hanscom AFB, MA 01731-2100. NO WARRANTY. THIS CARNEGIE MELLON UNIVERSITY AND SOFTWARE ENGINEERING INSTITUTE MATERIAL IS FURNISHED ON AN "AS-IS" BASIS. CARNEGIE MELLON UNIVERSITY MAKES NO WARRANTIES OF ANY KIND, EITHER EXPRESSED OR IMPLIED, AS TO ANY MATTER INCLUDING, BUT NOT LIMITED TO, WARRANTY OF FITNESS FOR PURPOSE OR MERCHANTABILITY, EXCLUSIVITY, OR RESULTS OBTAINED FROM USE OF THE MATERIAL. CARNEGIE MELLON UNIVERSITY DOES NOT MAKE ANY WARRANTY OF ANY KIND WITH RESPECT TO FREEDOM FROM PATENT, TRADEMARK, OR COPYRIGHT INFRINGEMENT. [DISTRIBUTION STATEMENT A] This material has been approved for public release and unlimited distribution. Please see Copyright notice for non-US Government use and distribution.

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Copyright 2023 Carnegie Mellon University.

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