Please use this identifier to cite or link to this item: https://dair.nps.edu/handle/123456789/5260
Title: A Model for Evaluating the Maturity of a Modular Open Systems Approach
Authors: Alfred Schenker
Nickolas H. Guertin
Douglas Schmidt
Keywords: Software Decomposition
Software Patterns
Integration
Modularity
Containerization
Cyber-Physical Systems
Issue Date: 28-Aug-2024
Publisher: Acquisition Research Program
Citation: APA
Series/Report no.: Acquisition Management;SYM-AM-24-166
Abstract: Defense acquisition leadership has long espoused the benefits of a Modular Open Systems Approach (MOSA). The discussion has been consistent, but the actions have not. We suggest that there is a spectrum of MOSA “compliant” implementations among projects. We refer to this as a spectrum of “MOSA maturity.” The acquisition community would benefit from an evaluation framework—based on a model of MOSA maturity—to characterize how well MOSA-related policy objectives are being met. We suggest that a coherent set of attributes be investigated, and that results be assessed, to see if a program, system, system-of-systems, or enterprise has made the necessary changes to business, technical, and organizational models. This paper describes an analysis construct that characterizes how well a weapon (or cyber–physical) system product has progressed in achieving the attributes of a MOSA. We will consider recently published attributes and criteria for MOSA as described by the Department of Defense (DoD), the Military Services, and Congress. We tie this work with emerging development practices to determine a more effective means of measuring and comparing MOSA capabilities across programs. This approach, built on prior research (as well as its measures) aligns with the newest Military Services MOSA policies and the latest DoD Instruction 5000.02: Operation of the Adaptive Acquisition Framework. We identify new findings for the consistent application of MOSA practices in programs.
Description: SYM Presentation
URI: https://dair.nps.edu/handle/123456789/5260
Appears in Collections:Annual Acquisition Research Symposium Proceedings & Presentations

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