Please use this identifier to cite or link to this item: https://dair.nps.edu/handle/123456789/5506
Title: The Pentagon’s Revolution in Software-Defined Warfare and Its Testing Dilemma
Authors: Nickolas H. Guertin, Douglas C. Schmidt
John Robert
Keywords: software defined warfare
AI-driven decision support
digital twins and simulation
rapid adaptability
autonomous systems
cyber operations
Issue Date: 30-Apr-2026
Publisher: Acquisition Research Program
Citation: APA 7
Series/Report no.: Acquisition Management;SYM-AM-26-069
Acquisition Management;SYM-AM-26-191
Abstract: Warfare is inherently messy and adaptive—Sun Tzu’s observation that “all warfare is based on deception” remains relevant—but today’s tempo of capability delivery is outpacing hardware-centric acquisition and legacy warfighting patterns. This paper argues that military preeminence increasingly depends on software-defined warfare, where code—not platforms—becomes the decisive differentiator. We characterize this shift through six tenets: rapid adaptability, AI-driven decision support, digital twins and simulation, reprogrammable weapons, autonomous systems, and cyber operations. Together, these tenets demand unprecedented operational agility, ena-bling forces to reconfigure tactics, platforms, and effects during conflict. The same features that enable overmatch also introduce fragility: tightly coupled “kill webs,” vulnerabilities in AI reasoning, and the risk of cascading failure from a single software update. This creates a central Pentagon dilemma: software-enabled capabilities can be fielded faster than they can be objectively assessed. Traditional test and evaluation (T&E), optimized for static hardware designs, is straining under continuous updates and complex interdependencies. We propose a reinvention of T&E—supported by digital twins, AI-augmented testing, DevSecOps pipelines, and independent oversight—and offer recommendations to balance rapid innovation with assurance so software-defined arsenals remain agile and dependable in the fog of war.
Description: Excerpt
URI: https://dair.nps.edu/handle/123456789/5506
Appears in Collections:Annual Acquisition Research Symposium Proceedings & Presentations

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