Examples¶

Reference Implementation

See ETIS applied to a complete engineering project.

The Examples section contains the completed LMU/COICP reference implementation: a realistic, repository-centered demonstration of how ETIS engineering evidence is created, connected, reviewed, and sustained across the full lifecycle of an AI-era software system.

Open LMU/COICP Repository-Wide Assets Browse Template Library

What the examples demonstrate¶

Examples show what completed ETIS artifacts can look like when they are used in a real project context.

They are not textbook samples, placeholder documents, or scripts to copy blindly. They are reference artifacts that demonstrate how professional engineering teams document purpose, requirements, planning, decisions, architecture, implementation evidence, release readiness, operational controls, AI use, governance, and stewardship.

The reference project is LMU/COICP: Lakeside Metropolitan University’s Campus Operations and Incident Coordination Platform.

How to use this section¶

Calibrate quality

Use the examples to understand the expected depth, structure, traceability, and professional tone of completed ETIS engineering evidence.

Read the repository

The examples are designed to be read as a connected project workspace: repository-wide assets first, then lifecycle evidence from Vision through Governance.

Adapt responsibly

Use the examples as models for judgment, not as copy-and-paste answers. Your evidence must reflect your own system, users, risks, constraints, and operating environment.

Reference implementation structure¶

01

LMU/COICP Overview

Start with the full reference implementation and lifecycle map.

02

Repository-Wide Assets

Review shared conventions, glossary, decisions, risks, AI-use records, artifacts, and stakeholder responsibilities.

03

Vision Evidence

See how project purpose, users, outcomes, boundaries, and success criteria are framed.

04

Requirements Evidence

Study how stakeholder needs become traceable functional and quality requirements.

05

Architecture Evidence

Review system boundaries, decisions, risks, tradeoffs, and architectural controls.

06

Implementation Evidence

See how AI-assisted engineering, repository structure, code review, and change control are documented.

07

Testing Evidence

Connect requirements, risks, verification strategy, test results, and release confidence.

08

Release Evidence

Review release readiness, acceptance decisions, open risks, and operational transition evidence.

09

Governance Evidence

Examine AI governance, risk handling, exception control, release governance, and stewardship evidence.

The Examples section follows the same navigation philosophy as the Engineering Platform and Template Library.

LMU/COICP Overview
  → Repository-Wide Assets
  → Vision
  → Requirements
  → Planning
  → Architecture
  → Design
  → Implementation
  → Integration
  → Testing
  → Release
  → Operations
  → Deployment
  → Monitoring
  → Stewardship
  → Governance
  → Repository-Wide Assets

Example rule: examples show what good engineering evidence can look like. They do not replace project-specific thinking. Every team must still make its own decisions, document its own risks, and produce evidence appropriate to its own context.

Open the completed reference implementation.

Use LMU/COICP to understand how the Engineering Platform and Template Library become a coherent project workspace.

Open LMU/COICP →