INCOSE IW MBSE Workshop January 2013 1 INCOSE (MBSE) Model Based System Engineering System of Systems and Enterprise Architecture Activity Ron Williamson,

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INCOSE IW MBSE Workshop January INCOSE (MBSE) Model Based System Engineering System of Systems and Enterprise Architecture Activity Ron Williamson, PhD Raytheon January 26/27, 2013 INCOSE IW MBSE Workshop Breakout Session INCOSE MBSE Wiki page: INCOSE MBSE SoS/Enterprise Modeling Wiki page: Credits: Mark Sampson, Sanford Friedenthal, the INCOSE MBSE Team

INCOSE IW MBSE Workshop January Session… in a Nutshell INCOSE MBSE SoS/EA Background – –Focus on Architecture Framework Standards, SoS Engineering Best Practices –Modeling & Simulation role aligned with MBSE static and dynamic models How do we describe Systems of Systems & Enterprise Architectures and what’s the role of MBSE? –Beyond annotated nodes and links drawings –Beyond cartoons and lightning bolts –Beyond textual Specifications of Functionality and Performance/Quality Factors What’s missing and how does MBSE help fill the gaps? –SoS Engineering Pain Points –As EE and Mechanical components became more complex, CAD/CAM became fundamental to conceiving, designing and manufacturing the components –As Systems become more complex….what is the CAD/CAM equivalent? Is the CAD/CAM analogy accurate? How do we Engineer SoS’s and what is the role of MBSE –Start with an architecture addressing all the stakeholder viewpoints and concerns –Identify existing systems as nodes and assess quality attributes across nodes –Design the “interoperability layer” or glue to enable inter node communications –Integrate, Verify and Validate expected behaviors and quality attributes

INCOSE IW MBSE Workshop January 2013 INCOSE MBSE Definition 3 formalized application of modeling “Model-based systems engineering (MBSE) is the formalized application of modeling to support system requirements, design, analysis, verification and validation activities beginning in the conceptual design phase and continuing throughout development and later life cycle phases.” INCOSE SE Vision 2020 (INCOSE-TP ), Sept 2007 formalized application of modeling “Model-based systems engineering (MBSE) is the formalized application of modeling to support system requirements, design, analysis, verification and validation activities beginning in the conceptual design phase and continuing throughout development and later life cycle phases.” INCOSE SE Vision 2020 (INCOSE-TP ), Sept 2007

INCOSE IW MBSE Workshop January 2013 INCOSE MBSE Roadmap Maturity MBSE Capability Ad Hoc MBSE Document Centric 2010 Well Defined MBSE Institutionalized MBSE across Academia/Industry Reduced cycle times Design optimization across broad trade space Cross domain effects based analysis System of systems interoperability Extending Maturity and Capability Distributed & secure model repositories crossing multiple domains Defined MBSE theory, ontology, and formalisms Emerging MBSE standards Matured MBSE methods and metrics, Integrated System/HW/SW models Architecture model integrated with Simulation, Analysis, and Visualization Planning & Support Research Standards Development Processes, Practices, & Methods Tools & Technology Enhancements Outreach, Training & Education Refer to activities in the following areas: Current SoS/EA Activity Focus: Mature Methods, Architecture, M&S, Formalisms

INCOSE IW MBSE Workshop January 2013 Activity Team System of Systems/Enterprise Modeling Team Lead: Ron Williamson, Raytheon Team Focus Areas –OMG Unified Profile for DoDAF/MODAF (UPDM) standards UPDM Group UPDM Group –OMG Architecture Ecosystem Special Interest Group AE SIGAE SIG –Business Process Modeling BPMNBPMN –Service Oriented Architecture modeling SOAMLSOAML –IDEAS Group IDEAS Group WebsiteIDEAS Group Website –DoD DODAF 2.0 Meta Model DM2 WebsiteDM2 Website –UK MOD MODAF 1.2 Meta Model M3 WebsiteM3 Website –MODEM DropboxDropbox –NCOIC Netcentric Patterns Netcentric Patterns WebsiteNetcentric Patterns Website 5

INCOSE IW MBSE Workshop January Mark Maier’s Architecting Principles for SoS: Characteristics Five principal characteristics are useful in distinguishing very large and complex but monolithic systems from true systems-of-systems. –Operational Independence of the Elements: If the system-of-systems is disassembled into its component systems the component systems must be able to usefully operate independently. The system-of-systems is composed of systems which are independent and useful in their own right. –Managerial Independence of the Elements: The component systems not only can operate independently, they do operate independently. The component systems are separately acquired and integrated but maintain a continuing operational existence independent of the system-of- systems. –Evolutionary Development: The system-of-systems does not appear fully formed. Its development and existence is evolutionary with functions and purposes added, removed, and modified with experience. –Emergent Behavior: The system performs functions and carries out purposes that do not reside in any component system. These behaviors are emergent properties of the entire system-of-systems and cannot be localized to any component system. The principal purposes of the systems-of-systems are fulfilled by these behaviors. –Geographic Distribution: The geographic extent of the component systems is large. Large is a nebulous and relative concept as communication capabilities increase, but at a minimum it means that the components can readily exchange only information and not substantial quantities of mass or energy.

INCOSE IW MBSE Workshop January Enterprise Architecture Perspective IDEAS Group Vocabulary Defining a language for SoSE

INCOSE IW MBSE Workshop January SoS Engineering Perspective SoS MBSE Implications Legacy Systems  Models for behavior, interfaces, requirements, performance, e.g. SysML, Modelica, MARTE Dynamic Reconfiguration of Architecture  Dynamic Reconfigurable models of architecture, e.g. UPDM with UML/SysML model version management Service Oriented Architecture Enabler  SOA modeling language, e.g. SoaML, SOA Patterns Protocols and Standards to Enable Interoperable Systems  Models for protocols, standards, interoperability, e.g. UPDM, DoDAF 2 MetaModel Added “ilities” or Quality Attributes  Specialty Engineering models, e.g Assurance, RMAS Federated Acquisition  Models for acquisition project synergy, e.g. UPDM, MODAF, DoDAF 2 MetaModel Independent Systems  Models for independence in system functionality, e.g. Agent Based, federated models Concept of Operations Critical  Models for CONOPs including Mission, Objectives, Courses of Action, etc. e.g. UPDM Operational Viewpoint, BPMN Business Processes Ongoing Experimentation  Analysis of Alternatives models for all viewpoints and model versioning

INCOSE IW MBSE Workshop January 2013 MBSE & SoS Pain Points SoS Management –Lack of SoS Authorities and Funding –Constituent Systems –Leadership SoS Technical Issues –Autonomy and Emergence –Capabilities and Requirements –Testing, Validation and Learning –SoS Principles 9

INCOSE IW MBSE Workshop January 2013 MBSE & SoS Pain Points SoS Management Lack of SoS Authorities and Funding –Business Models Top Down Command and Bottom Up Initiative –  Behavior models –Funding Models Service Model, CrowdSourcing, Traditional –  Economic Models Constituent Systems Perspectives –Coordination and Management of Independent Systems  Collaboration Models, Change Sensitivity Analysis Models  Monte Carlo Based Emergence Models Leadership –Multiple Organizations  Organizational Collaboration Models 10

INCOSE IW MBSE Workshop January 2013 MBSE & SoS Pain Points SoS Technical Issues Autonomy and Emergence –Expected behaviors based on combination of systems  Monte Carlo Based Emergence Models, Constraint Models  Interdependency Models (node-link analysis), Vulnerability/Fault Analysis Models Capabilities and Requirements –SoS Level and Traceability  Capability, Function, Performance Models  SoS Requirements Analysis Models Testing, Validation and Learning –Incremental, evolving  Model based testing and validation SoS Principles –Processes, Examples, Workflow  Process models, Model libraries, Behavior Models  Visualization of SoS to detect anomalies 11

INCOSE IW MBSE Workshop January 2013 Generalized SoSE Approach…. Start with an architecture addressing all the stakeholder viewpoints and concerns Identify existing systems as nodes and assess interoperability and other quality attributes across nodes Design the “interoperability layer” or glue to enable inter node communications Integrate, Verify and Validate expected behaviors and quality & mitigate unexpected behaviors 12 Planner Owner Developer Builder Implementer User What How Where Who When Why Source: NDIA Test and Evaluation Conference Tutorial March 2012 vs.

INCOSE IW MBSE Workshop January Please capture and hold questions until the Panel Discussions Sunday Afternoon