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Systems Engineering Foundations.

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Table of Contents Introduction to Systems Engineering Requirements Engineering System Architecture 03 and Design System Integration 04 and Testing System Verification 05 and Validation System Deployment 06 and Maintenance.

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01 Introduction to Systems Engineering.

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What is Systems Engineering? Definition and Scope Systems Engineering (SE) is a holistic, interdisciplinary approach to designing, realizing, and managing complex systems over their life cycle s; SE focuses on defining customer needs and required functionality early in the development Key Principles of Systems Engineering Focus on the entire system lifecycle; Involve stakeholders early and often; Use a structured process; Manage complexity through abstraction and modeling. The Value of Systems Engineering Improved system quality; Reduced project risks; Better alignment with customer needs; Lower lifecycle costs..

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The Systems Engineering Process 01 Overview of the Systems Engineering Process The SE process includes requirements elicitation, design synthesis, system analysis, verification, and validation; It is iterative and adaptive. 02 Key Activities in Each Phase Requirements: Define stakeholders needs: Design: Create system architecture; Analysis: Evaluate performance; Verification & alidation: confirm requirements are met. 03 Iteration and Feedback Loops Systems Engineering uses feedback loops to refine requirements; Iterative cycles optimize designs based on testing and analysis..

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Systems Engineering Standards Overview of Relevant Standards Important standards include ISO 15288 (System Life Cycle Processes), IEEE 1220 (Application of Systems Engineering), and ElA-632 ( Processes for Engineering a System). Benefits of Using Standards Standards provide a common framework; They ensure consistency and reduce risk. How to Apply Standards Effectively Tailor the standards to fit project needs; Focus on core principles; Use standards as a guide, not a rigid checklist..

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02 Requirements Engineering.

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Eliciting Requirements Identifying Stakeholders Stakeholders include customers, users, developers, operators, and maintainers; Understand their needs for comprehensive requirements. Gathering Techniques Use interviews, surveys, workshops, and prototypes to gather requirements effectively; Each method captures unique insights. Documenting Requirements Document requirements clearly and unambiguously; Employ standardized templates and tools; Traceability is essential..

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Analyzing Requirements Validating Requirements Agreement Validate requirements with stakeholders to ensure they meet their needs; Use reviews and simulations to confirm understanding. O Verifying Requirements Correctness Check requirements for completeness, consistency, and feasibility; Ensure requirements are testable and verifiable. o Prioritizing Requirements Prioritize requirements based on importance, urgency, and risk; Use techniques like MoSCoW (Must have, Should have, Could have, Won't have) to manage priorities..

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Managing Requirements Requirements Traceability Establish traceability between requirements, design, implementation, and testing; Ensure changes are properly managed. Change Management Implement a change management process to handle requirement changes; Evaluate impact and obtain stakeholder approval. Requirements Management Tools Utilize tools like DOORS, Polarion, or Jama Somvare to manage requirements; These tools facilitate collaboration and traceability..

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03 System Architecture and.

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Principles of System Architecture Modularity and Abstraction Employ modular design principles; Use abstraction to manage complexity; Define clear interfaces for each module. Cohesion and Coupling Maximize cohesion within modules; Minimize coupling between modules; These practices improve maintainability. Information Hiding Hide implementation details of modules to prevent dependencies; This enhances flexibility..

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Architectural Views Logical View Define the logical components of the system; Illustrate their relationships; Use UML diagrams to represent logical views. Physical View Describe the physical deployment of the system; Show hardware and network configurations; Consider constraints and limitations. Behavioral View Model the behavior of the system; Use state diagrams and sequence diagrams; Capture dynamic interactions..

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Design Trade-offs 01 Performance vs. Cost Balance performance needs with cost constraints; Performance enhancements often increase costs; Optimize for best value. 02 Reliability vs. Complexity Consider the trade-off between reliability and complexity; Redundancy increases reliability; Added complexity can decreas e it. 03 Security vs. Usability Address the trade-off between security and usability; Strong security measures can impact user experience; Balance these requirements..

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04 System Integration and Testing.

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Integration Strategies Top-Down Integration Integrate top-level modules first and then proceed to lower- level modules; This reduces integration complexity. Bottom-Cp Integration Integrate lower-level modules first and then build up to higher-level modules; This is useful for testing base components. Big Bang Integration Integrate all modules at once; This is risky and difficult to debug. O.

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Testing Levels Unit Testing Test individual modules or components in isolation; Verify that each unit functions correctly; Use automated testing tools. Integration Testing Test the interaction between modules; Verify that integrated modules work together; Focus on interface testing. System Testing Test the entire system as a whole; Verify that all system requirements are met; Use black-box testing techniques. Acceptance Testing Test the system in a user environment; Validate that the system meets user needs; Involve stakeholders in the testing process..

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Test Automation Benefits of Test Automation Automated testing improves test coverage; It reduces testing time; It increases reliability. 01 Selectin Test Automa ion Tools Choose tools that support testing needs; Consider compatibility with development environment; Ensure ease of use. 02 Implementing Test Automation Develop automated test scripts; Integrate testing into continuous integration pipeline; Monitor test results regularly. 03.

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05 System Verification and Va ation.

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Verification Definition and Purpose Verification ensures that the system is built right; It involves checking that the system meets specified requirements; Verification answers the question: Are we building the system right? Verification Techniques Inspection, analysis, demonstration, and testing are important verification techniques; Evaluate the design and implementation. Verification Planning Plan verification activities early; Define verification criteria; Allocate resources..

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Validation Definition and Purpose Validation ensures that the system meets its intended use; It involves checking that the system satisfies user needs; Validation answers the question: Are we building the right system? Validation Techniques User testing, simulations, and field trials are useful to validate the system; Gather feedback from stakeholders. Validation Planning Plan validation activities in advance; Define acceptance criteria; Involve stakeholders..

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Relationship Between Verification and Validation V&V as Complementary Activities Verification and validation are complementay; Both are essential for ensuring system quality and compliance. Integrating V&V into the Lifecycle Incorporate V&V activities throughout the system lifecycle; This improves early detection of issues and reduces risk. Continuous Improvement Use V&V results to drive continuous improvement; Refine requirements; Enhance design; Enhance development processes..

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Deployment Planning Deployment Environment Consider the target deployment environment; Plan for hardware, software, and network configurations; Ensure compatibility. Deployment Procedures Develop detailed deployment procedures; Minimize disruption, and ensure a smooth transition; Test deployment procedures. Training End Users Train end users on the new system; Provide documentation, and address user questions promptly; Facilitate user adopti011.

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Maintenance Activities Corrective Maintenance Fix defects identified after deployment; Respond promptly to bug reports; Track and resolve issues. Adaptive Maintenance Modify the system to adapt to changing requirements and environment; Integrate new features and technologies; Ensure compatibility. Perfective Maintenance Improve the system performance, reliability, and usability; Optimize code and infrastructure; Enhance the user experience. Preventive Maintenance Perform proactive maintenance to prevent failures, conduct regular inspections; Upgrade hardware and software; Mitigate risks..

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System Retirement Planning for End-of-Life Plan for system retirement; Define criteria for end-of-life; Manage data migration and archival. Data Migration Migrate data to new systems and ensure data integrity; Validate data accuracy; Comply with data retention policies. Disposal and Replacement Dispose of hardware and software securely and replace with new systems; Comply with environmental regulations..

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Emerging Trends in Systems En eenng.

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Model-Based Systems Engineering (MBSE) What is MBSE? MBSE utilizes models throughout the systems engineering lifecycle; Models improve communication, analysis; Reduce ambiguity. Benefits of MBSE Improves system understanding; Enhances collaboration; Enables early validation; Reduces errors. MBSE Tools and Techniques Leverage tools like SysML and Cameo Systems Modeler; Develop and maintain system models..

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Agile Systems Engineering Integrating Agile and SE Combines the iterative approach of Agile with the holistic view of Systems Engineering; Delivers value incrementally. Key Principles of Agile SE Embrace change; Focus on customer collaboration; Deliver working systems frequently. Applying Agile SE in Projects Use short sprints; Conduct regular reviews; Adapt to changing requirements..

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A1 and Systems Engineering Benefits of A1 in SE Enhances decision-making; Reduces development time; Improves system performance. O A1 in Systems Engineering Utilize A1 for requirements elicitation, design optimization, and testing; Automate repetitive tasks and improve efficiency. o Challenges and Considerations Address ethical considerations; Ensure data privacy & security; Manage complexity..

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Thank you for watching. Reporter.