Path To Authenticity I Transformation

🔧 1. Core Definition
Systems Engineering (SE) is an interdisciplinary approach that focuses on designing, integrating, and managing complex systems over their life cycles. It ensures that all technical and business requirements are met with a balance of performance, cost, schedule, risk, and compliance.

🧭 2. Key Dimensions (Holistic View)
🧩 System Life Cycle Phases
Concept & Feasibility – Understand stakeholder needs, define use cases, conduct feasibility studies.

Requirements & Architecture – Develop system requirements, functional decomposition, and system architecture (logical + physical).

Design & Implementation – Detailed design, integration with hardware/software, prototyping.

Verification & Validation (V&V) – Ensure system meets specs (verification) and user needs (validation).

Production & Deployment – Transfer to manufacturing, deployment planning, field trials.

Operations & Maintenance – Monitor reliability, address bugs, support users.

Retirement – Decommissioning, end-of-life planning, data migration.

🧠 SE Principles
Holistic Thinking – Always see the system as a whole, not just its parts.

Iterative Development – Apply V-model or Agile-V hybrid approaches.

Requirements Traceability – Bidirectional trace from user need → system → tests.

Risk Management – Identify and mitigate technical and regulatory risks early.

Interface Management – Focus on both internal and external interfaces.

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