Allocating a Data Collection Budget To Support Test And Evaluation Plans

Abstract

Acquisition decisions are often made using experimental and simulation data. It can be unclear how much to budget to collect such data. This research delivers guidelines for determining the amount of data needed to evaluate uncertain performance of a system using different sampling techniques. These methods can be applied to help determine the budget for performing test and evaluation on new systems under uncertain conditions. We implement these sampling techniques to develop a tool that can be used to analyze different experimental conditions to estimate the approximate testing budget.