Making Big Data, Safe Data: A Test Optimization Approach

Abstract

The following report outlines a procedure and algorithm to optimize the potential knowledge gained about a complex system when performing robustness testing and faced with a set of constraints. In particular, this project was catalyzed by the need to put a value on testing. Included with this project report is a proof of concept created in MS Excel utilizing its VBA developer tool. In short, a test network is created by establishing test relationships and then assigning each an expected knowledge value. With these values and an understanding about the relationships between the tests, an optimization about the total potential knowledge of the system can be acquired while minimizing testing costs and/or effort.

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Document Details

Document Type
Technical Report
Publication Date
Jun 15, 2016
Accession Number
AD1016836

Entities

People

  • Eddie Enhelder
  • Ricardo Valerdi

Organizations

  • University of Arizona

Tags

Communities of Interest

  • Engineered Resilient Systems

DTIC Thesaurus Topics

  • Acquisition
  • Algorithms
  • Automobiles
  • Commerce
  • Complex Systems
  • Computer Programming
  • Computer Programs
  • Computers
  • Engineering
  • Language
  • Money
  • Programming Languages
  • Public Policy
  • Systems Engineering
  • Test And Evaluation
  • Test Facilities
  • User Interface

Readers

  • Aerospace Test and Evaluation
  • Distributed Systems and Data Platform Development
  • Life Cycle Cost Analysis