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ARJ 73

DEFENSE ACQUISITION RESEARCH JOURNAL

 

Vol. 22, No. 2

Issue 73: January 2015

The Defense Acquisition Research Journal (ARJ) is a scholarly peer-reviewed journal published by the Defense Acquisition University (DAU). All submissions receive a blind review to ensure impartial evaluation. Articles represent the views of the authors and do not necessarily reflect the opinion of the DAU or the Department of Defense.

View as PDF  5 Articles in This Journal

The Value of Training: Analysis of DAU's Requirements Management Training Results

Charles M. Court, Gregory B. Prothero, and Roy L. Wood

This article examines assumptions and measures student progress at the Defense Acquisition University’s Advanced Concepts and Skills for Requirements Management course, RQM 310, using pre- and post-testing data analyzed through SPSS t-tests or analysis of variation.

Increase Return on Investment of Software Development Life Cycle by Managing the Risk—A Case Study

William F. Kramer, Mehmet Sahinoglu, and David Ang

This case study uses modeling and simulation to depict the cost of risk associated with the “Waterfall” approach for a proposed Software Development Life Cycle. The unforeseen risk is shown to produce a Return on Investment when the proper resources are aligned.

Manage Toward Success— Utilization of Analytics in Acquisition Decision Making

Sean Tzeng and K. C. Chang

Defense Business System Acquisition Probability of Success is an analytic model that represents a way ahead to support acquisition decision making, and an initial step forward in improving human understanding and ability to innovate and engineer systems though evidential reasoning

Does Your Culture Encourage Innovation?

CDR Craig Whittinghill, USN, David Berkowitz, and Phillip A. Farrington

The authors examine culture within an organization and how it can be modified to improve innovativeness and overcome future/emerging threats to meet new and complex challenges.

DoD Comprehensive Military Unmanned Aerial Vehicle Smart Device Ground Control Station Threat Model

Katrina M. Mansfield, Timothy J. Eveleigh, Thomas H. Holzer, and Shahryar Sarkani

The robust threat model the authors propose addresses cybersecurity threats to a complete Unmanned Aerial System (hardware, software, communication network) and the associated human threats. The full version of this article appears in the online edition of this issue of the Defense ARJ

Defense Acquisition Research Journal

Vol. 22, No. 2

Issue 73: January 2015

The Defense Acquisition Research Journal (ARJ) is a scholarly peer-reviewed journal published by the Defense Acquisition University (DAU). All submissions receive a blind review to ensure impartial evaluation. Articles represent the views of the authors and do not necessarily reflect the opinion of the DAU or the Department of Defense.