The United States Space Force, through the Space Development Agency (SDA), seeks to develop an adaptive, knowledge-guided test-planning capability to serve as a decision aid in support of Test & Evaluation (T&E) activities for the Proliferated Warfighter Space Architecture (PWSA). PWSA is a continuously evolving constellation in Low Earth Orbit (LEO) designed to deliver resilient, threat-responsive capabilities to the joint force. Given the rapid, tranche-based deployment of capabilities under SDAÕs spiral development model, traditional compliance-based test strategies are insufficient. This effort aims to prototype a modern test framework that can: - Continuously update understanding of system performance using real-time test data - Quantify expected knowledge gain relative to resource cost for each test - Dynamically re-plan test sequences to prioritize high-utility activities and truncate low-value ones The solution should incorporate probabilistic reasoning (e.g., Bayesian inference), integration of synthetic and live test data, and multi-objective utility models aligned with mission priorities (e.g., latency, resiliency, throughput). It should also support open APIs and modular architecture to ensure compatibility with SDA's digital infrastructure. Ultimately, this capability will enable smarter, faster, and more resource-efficient test campaigns that support the operational agility of the PWSA and its expanding mission scope.