AI-Assisted Modernization and Optimization of Theater Mission Planning Center (TMPC) Software

PROJECTED CMMC LEVEL REQUIREMENT
Level 2 (Self)
TECHNOLOGY AREAS
None
MODERNIZATION PRIORITIES
Advanced Computing and Software
KEYWORDS
AI-assisted; Legacy Code; Machine Learning; Natural Language Processing; Tomahawk; Mission Planning
OBJECTIVE
Develop an AI-driven toolset to automate the modernization of Theater Mission Planning Center (TMPC) software, focusing on refactoring legacy code, optimizing performance, integrating advanced cybersecurity, and ensuring compatibility with modern and next-generation mission systems.
ITAR
The technology within this topic is restricted under the International Traffic in Arms Regulation (ITAR), 22 CFR Parts 120-130, which controls the export and import of defense-related material and services, including export of sensitive technical data, or the Export Administration Regulation (EAR), 15 CFR Parts 730-774, which controls dual use items. Offerors must disclose any proposed use of foreign nationals (FNs), their country(ies) of origin, the type of visa or work permit possessed, and the statement of work (SOW) tasks intended for accomplishment by the FN(s) in accordance with section 3.5 of the Announcement. Offerors are advised foreign nationals proposed to perform on this topic may be restricted due to the technical data under US Export Control Laws.
DESCRIPTION
TMPC software is built on legacy code that presents challenges in maintainability, performance optimization, cybersecurity, and integration with evolving mission systems. Current modernization efforts rely on manual refactoring, which is time-consuming, error-prone, and costly. There is a critical need for an AI-driven capability to automate code refactoring, optimize computational efficiency, and integrate cybersecurity features without disrupting TMPC's core functions. This effort will enable seamless software upgrades while maintaining backward compatibility with existing operational platforms.
The proposed solution will leverage machine learning (ML) and natural language processing (NLP) to analyze, refactor, and optimize TMPC's codebase while preserving mission-critical functionalities. Additionally, AI-assisted software validation and security enhancements will ensure that modernized TMPC software meets the evolving requirements of Navy mission planning environments.
Work produced in Phase II may become classified. The prospective contractor(s) must be U.S. owned and operated with no foreign influence as defined by 32 U.S.C. 2004.20 et seq., National Industrial Security Program Executive Agent and Operating Manual, unless acceptable mitigating procedures can and have been implemented and approved by the Defense Counterintelligence and Security Agency (DCSA) formerly Defense Security Service (DSS). The selected contractor must be able to acquire and maintain a secret level facility and Personnel Security Clearances. This will allow contractor personnel to perform on advanced phases of this project as set forth by DCSA and NAVAIR in order to gain access to classified information pertaining to the national defense of the United States and its allies; this will be an inherent requirement. The selected company will be required to safeguard classified material during the advanced phases of this contract IAW the National Industrial Security Program Operating Manual (NISPOM), which can be found at Title 32, Part 2004.20 of the Code of Federal Regulations.
PHASE I
Conduct an analysis of TMPC's existing software architecture to identify modernization needs. Develop conceptual AI-based models for legacy code analysis, refactoring, and cybersecurity integration. Demonstrate proof-of-concept AI-driven refactoring on a representative TMPC software component.
The Phase I effort will include prototype plans to be developed under Phase II.
PHASE II
Develop a prototype AI toolset for TMPC code modernization. Integrate cybersecurity enhancements and automated validation/testing. Conduct functional and performance testing and validation. Ensure compatibility with existing and next-generation TMPC hardware/software.
Work in Phase II may become classified. Please see note in the Description.
PHASE III DUAL USE APPLICATIONS
Bring the AI tool from prototype to full-scale, improving the speed, security, and cost-effectiveness of software upgrades.
The same technology that helps the Navy can also potentially help the private sector fix and secure older software more easily.
REFERENCES
Hagardt, J. "Artificial Intelligence and Agile Combat Employment." Military Review: The Professional Journal of the U.S. Army, May-June 2024. https://www.armyupress.army.mil/Portals/7/military-review/Archives/English/May-June-2024/MJ-24-Hagardt/MJ-24-Artificial-Intelligence-UA.pdf
Plaff, C. A.; Lowrance, C. J.; Washburn, B. M. and Carey, B. A. "Trusting AI: Integrating artificial intelligence into the Army's professional expert knowledge. United States Army War College Press, 2023. https://press.armywarcollege.edu/monographs/959
"National Industrial Security Program Executive Agent and Operating Manual (NISP), 32 U.S.C. 2004.20 et seq. 1993." https://www.ecfr.gov/current/title-32/subtitle-B/chapter-XX/part-2004