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Model-Based Systems Engineering Training, MBSE Training by TONEX

Model-Based Systems Engineering Training, MBSE Training.

TONEX MBSE Training Courses includes (For Details CLICK HERE):

  • Advanced SysML Training | Creating SysML Models
  • BPMN Training- Business Process Management Notation Training
  • MBSE Training | Model-Based Systems Engineering Training
  • Requirements Engineering Workshop with Use Cases
  • SysML Training | Systems Modeling Language Training
  • UML Training – Unified Modeling Language Certification

TONEX’s 4-day MBSE training course addresses the techniques used to work with systems engineering, system architecture, design and testing using MBSE.

A model can come in many shapes, sizes, and styles. It is important to emphasize that a model is not the real world but merely a human construct to help us better understand real world systems. In general all models have an information input, an information processor, and an output of expected results.  Model-based systems engineering (MBSE) is fundamentally a thought process. It provides the framework to allow the systems engineering team to be effective and consistent right from the start of any project.
At the same time, it is flexible enough to allow the “thought” process to adapt to special constraints or circumstances present in the problem. There are major advantages arising from using models as the basis of systems engineering.

Models thoroughly consider the entire engineering problem, use a consistent language to describe the problem and the solution, produce a coherently designed solution, and comprehensively and verifiably answer all the system requirements posed by the problem.

“Model-Based Systems Engineering (MBSE) presents the formalized application of modeling to support many aspects of modern systems engineering including: system analysis, system requirements, design, verification, and validation and activities beginning in the conceptual design phase and continuing throughout development and later life cycle phases.

Primary use is to design a system that satisfies system requirements and allocates requirements to the system’s components. Used to enhance communication between designer and developer. MBSE produces a system model contained in a model repository

System model includes system specification, design, analysis, and verification information. The system model can provide a more complete, consistent, and traceable system design. Enhances the quality of traceability and change impact assessments

Model-Based Systems Engineering (MBSE) Training course will focus on providing the student with a working knowledge of MBSE and its value in the overall development of systems. MBSE Training, covers the formalized application of modeling to support systems requirements, design, analysis, verification, and validation activities. MBSE Training covers the process that begins with the conceptual design phase and continues throughout development and later life cycle phases. MBSE Training will show the modeling capabilities of MBSE to link all elements of your system to have greater visibility into your design, verification and validation. MBSE can manage the development and deployment of complex systems without ad-hoc collections of independent documents.

MBSE Benefits: MBSE enhances the ability to capture, analyze, share, and manage the information associated with the complete specification of a product, resulting in the following benefits: Improved communications among the development stakeholders (e.g. the customer, program management, systems engineers, hardware and software developers, testers, and specialty engineering disciplines). Increased ability to manage system complexity by enabling a system model to be viewed from multiple perspectives, and to analyze the impact of changes. Improved product quality by providing an unambiguous and precise model of the system that can be evaluated for consistency, correctness, and completeness. Enhanced knowledge capture and reuse of the information by capturing information in more standardized ways and leveraging built-in abstraction mechanisms inherent in model-driven approaches. This in turn can result in reduced cycle time and lower maintenance costs to modify the design. Improved ability to teach and learn systems engineering fundamentals by providing a clear and unambiguous representation of the concepts.

Complex System- and Software-Development are not easy to perform:

  • Using models for problem area and solution area;
    • Reduces complexity
    • Facilitates communication
    • Eases re-use
    • Modeling is well-established engineering technique
    • Benefits for different stakeholders
    • Customer
    • Project management
    • Development
    • Quality assurance
    • Other stakeholders
    • System Model
    • Includes information on:
      • Design
      • Analysis
      • Verification

MBSE will add to the traditional SE activities:

  • Enhanced Communications
  • Specification and design precision
  • System design integration
  • Re-use of system artifacts
  • And output of MBSE is a system model rather than pages of documentation

MBSE consists of elements that represent

  • Requirements
  • Design elements
  • Test Cases
  • Design Rationale
  • Interrelationships (between the above)

Learn about MBSE and related topics:

  • What MBSE is, and how does it compare to traditional SE?
  • MBSE Benefits
  • Definition of Model-Based Systems Engineering (MBSE) input and output
  • Overview of System Thinking and Models
  • SE Practices for Describing a System Design
  • Purpose behind Model-based systems engineering (MBSE)?
  • MBSE Across the System Life Cycle
  • Overview of SysML
  • Modeling with SysML
  • System Modeling using MBSE and SysML
  • Document-Based Systems vs. with MBSE
  • Purpose for Modeling a System
  • A look at the overall benefits of MBSE and SysML
  • The adoption of MBSE in the industry
  • An in-depth look at SysML and how it supports MBSE
  • Ways in which your organization can use a systems modeling tool to build systems models
  • How are MBSE methods used to specify and design systems?
  • How does an organization transit to MBSE?

 

Systems Engineering Overview with MBSE and SysML

  • Model Based Systems Engineering Overview
  • SysML Overview
  • Organizing the Model with Packages
  • Modeling Functionality with Use Cases
  • Modeling Requirements and their Relationships
  • Modeling Structure with Blocks (Block Definition Diagrams)
  • Modeling Structure with Blocks (Internal Block Diagrams)
  • Modeling Flow-Based Behavior with Activities
  • Modeling Event-Based Behavior with State Machines
  • Modeling Message-Based Behavior with Interactions
  • Modeling Constraints with Parametrics
  • Modeling Cross-Cutting Relationships with Allocations

 

System Modeling and Diagrams

  • Context Diagram
  • Functional Flow Diagram
  • N2 Diagram
  • Physical Block Diagram
  • Structural – Class, Component, Deployment, Object;
  • Behavioral – Activity, Collaboration, Sequence, State, Use Case

Contrasting Document-Based SE with MBSE

  • Purpose for Modeling a System
  • Principles of Model Based Systems Engineering
  • Characterize an existing system
  • Specify and design a new or modified system
  • Represent a system concept
  • Specify and validate system requirements
  • Synthesize system designs
  • Specify component requirements
  • Maintain requirements traceability
  • Evaluate the system
  • Conduct system design trade-offs
  • Analyze system performance requirements or other quality attributes
  • Verify that the system design satisfies the requirements
  • Traditional Document-Based SE produces a variety of documents
  • Completeness, consistency, and relationships between requirements, design, engineering analysis, and test information are difficult to assess since this information is spread across several documents
  • Difficult to perform traceability
  • Difficult to assess change impacts
  • A “layered” process of analyzing and solving systems design problems.
  • Shared understanding of system requirements and design
  • Validation of requirements
  • Common basis for analysis and design
  • Facilitates identification of risks
  • Assists in managing complex system development
  • Separation of concerns via multiple views of integrated model
  • Supports traceability through hierarchical system models
  • Facilitates impact analysis of requirements and design changes
  • Supports incremental development & evolutionary acquisition
  • Improved design quality
  • Reduced errors and ambiguity
  • More complete representation
  • Supports early and on-going verification & validation to reduce risk
  • Provides value through life cycle (e.g., training)
  • Enhances knowledge capture
  • Assess the impact of requirements and design changes

 

 

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