A Formal Method for Assessing Architecture Model and Design Maturity Using Domain-independent Patterns

AbstractDesign patterns have been used as a formal or systematic means for extracting and patterning knowledge about good design choices, as well as capturing lessons learned associated with poor design choices (or so-called anti-patterns). Yet little attention is devoted specifically to pattern languages that are based on the fabric of architecture models – the conceptual data model – to capture reusable design knowledge and architecting best practices that can be applied in more than one domain at a high level of abstraction. This paper demonstrates a simple model-based method for identifying and patterning architecture design aspects that are domain-independent, and thus transferable and reusable in any system design with a comparable data model. The use of this method in formally documenting good and poor patterns in an abstract way is demonstrated by example. Discovered patterns such as those presented herein can be distributed, codified in a tool of choice, and sought out in actual architecture models of systems using automation. Since there may not be universal agreement on a common set of “good” and “poor” patterns, individual architects or organizations can use this method to state their particular practices as formal axioms, and structure them to assist in the assessment of model and design maturity against their own specific standards

Mission Scenario Generation and Characterization to Support Acquisition Decisions for Long Range Precision Fires-Maritime (LRPF-M)

NPS NRP Executive SummaryMission Scenario Generation and Characterization to Support Acquisition Decisions for Long Range Precision Fires-Maritime (LRPF-M)Naval Surface Warfare Center (NSWC), Division DahlgrenThis research is supported by funding from the Naval Postgraduate School, Naval Research Program (PE 0605853N/2098). https://nps.edu/nrpChief of Naval Operations (CNO)Approved for public release. Distribution is unlimited.

Mission Scenario Generation and Characterization to Support Acquisition Decisions for Long Range Precision Fires-Maritime (LRPF-M)

NPS NRP Project PresentationMission Scenario Generation and Characterization to Support Acquisition Decisions for Long Range Precision Fires-Maritime (LRPF-M)Naval Surface Warfare Center (NSWC), Division DahlgrenThis research is supported by funding from the Naval Postgraduate School, Naval Research Program (PE 0605853N/2098). https://nps.edu/nrpChief of Naval Operations (CNO)Approved for public release. Distribution is unlimited.

Mission Scenario Generation and Characterization to Support Acquisition Decisions for Long Range Precision Fires-Maritime (LRPF-M)

NPS NRP Project PosterMission Scenario Generation and Characterization to Support Acquisition Decisions for Long Range Precision Fires-Maritime (LRPF-M)Naval Surface Warfare Center (NSWC), Division DahlgrenThis research is supported by funding from the Naval Postgraduate School, Naval Research Program (PE 0605853N/2098). https://nps.edu/nrpChief of Naval Operations (CNO)Approved for public release. Distribution is unlimited.

Generation of Human Views with Monterey Phoenix

This research advances model-based systems engineering approaches and tools for representing human behaviors in terms of decision-making processes and choices, and integrating human models with technological system models to predict and purge unintended interactions. In particular, the Monterey Phoenix (MP) system architecture and workflow behavior modeling approach and tool, created at NPS with CRUSER sponsorship, was extended and used to produce a case study of an area clearance system composed of humans and technology. Innoslate, a commercial system architecting tool, was also used to test the integration of models of human behavior into system architecture models. Both tools generated scenarios of possible human-system interactions, but each model had distinct features. The Innoslate model enabled activity probabilities (for failure analysis) and durations (for mission completion time) to be assigned for Monte Carlo simulation of a subset of all possible scenarios, whereas MP provided exhaustive generation of all possible scenarios up to a specified scope. Analysis of the latter model exposed some unanticipated interactions, including one significant finding of a vulnerability that could arise from an improper human-system interaction. A NAVAIR-sponsored requirements verification and validation approach was subsequently developed from this and other case studies that exposed unwanted, hazardous, incorrect and otherwise undesirable behaviors in system designs. Future work will assess integration potential of the MCSC-sponsored Framework for Assessing Cost and Technology (FACT) tool with MP and Innoslate so that tradespace analysis questions typically asked at the physical architecture level can be informed directly by higher level behavior models and lifecycle requirements.Naval Research ProgramPrepared for:Topic Sponsor: Marine Corps System Command (MCSC); Research POC Name: Mike O'NealNPS-T16-M008-

Verification and Validation (V&V) of System Behavior Specifications

SERC Sponsored Research Review, November 8, 2017Sponsor: DASD(SE) and NAVAI

RT-176: Verification and Validation (V&V) of System Behavior Specifications

10th Annual SERC Sponsor Research ReviewDASD(SE

RT-137: Ilities Tradespace and Affordability Resource Analysis Based on System Architecture Behavior

SERC Sponsor Research Review, December 3, 201

A Fuzzy Evaluation Method for System of Systems Meta-architectures

A method is proposed for evaluating a range of System of Systems (SoS) meta-architecture alternatives. SoS are composed through combination of existing, fully functioning Systems, possibly with minor functional changes, but certainly by using the combined Systems to achieve a new capability, not available from the Systems alone. The meta-architecture describes how all possible subsets of Systems can be combined to create an SoS. The fitness of a realizable SoS architecture may be characterized by terms such as unacceptable, marginal, above average, or excellent. While these terms provide little information about the SoS when used alone and informally, they readily fit into fuzzy membership sets that overlap at their boundaries. More descriptive attributes such as “ease of use,” which might depend on individual user and a set of conditions, “mission effectiveness” over a particular suite of missions, and “affordability,” which may change over time with changing business climate, etc., lend themselves readily to fuzzy evaluation as well. An approach to defining the fuzzy concepts and establishing rule sets to provide an overall SoS evaluation for many sets of participating individual Systems represented by the meta-architecture is discussed. An application of the method is discussed within the framework of developing and evaluating a hypothetical Intelligence, Surveillance and Reconnaissance (ISR) SoS capability