Date of Award
3-2023
Document Type
Thesis
Degree Name
Master of Science
Department
Department of Systems Engineering and Management
First Advisor
Mark G. Reith, PhD
Abstract
The Department of Defense’s (DoD) software factories are a collection of modern software acquisition programs that commonly employ the agile, network-based business strategies often found within commercial industries. Having been formally recognized by senior leaders for their revolutionary software development approaches, the software factories highlight a cultural shift within the DoD away from traditional organizational practices. As a result of the factories demonstrated successes, the number of programs employing non-traditional strategies is expanding. While this is notable, it also presents a challenge because a comprehensive understanding of the characteristics, structures, and behaviors of the DoD’s software factories does not currently exist. This thesis addresses this knowledge gap by employing a sequential mixed methods methodology to explore the organizational characteristics and structures of the DoD’s software factories using a three-phased research approach designed to facilitate active community engagement and feedback. Primary research data was collected from the software factory community through personnel interviews, participant observation, and a case study. Results from this research include a software factory characterization framework, a structural definition of software factories, and a new programmatic assessment process designed to help acquisition practitioners understand the organizational behaviors of non-traditional programs.
AFIT Designator
AFIT-ENV-MS-23-M-229
Recommended Citation
Ryan, Zachary O., "Illuminating the Unknown: A Mixed Methods Exploration of the DoD Software Factory Ecosystem" (2023). Theses and Dissertations. 6978.
https://scholar.afit.edu/etd/6978
Comments
A 12-month embargo was observed.
Approved for public release: 88ABW-2023-0229