Systems Engineering Articles

Systems engineering articles from Reqi: requirements management, MBSE, safety assurance, RAMS and AI in engineering, explained for practitioners.

Orange industrial robots welding car bodies on an automotive assembly line
Requirements

What Is APQP? The 5 Phases of Advanced Product Quality Planning

APQP explained: the five phases, where it came from, how PPAP fits, what it actually delivers, and the documentation-ritual failure mode to avoid.

Team reviewing software in a meeting room
Requirements

Best Requirements Management Tools in 2026 (and DOORS Alternatives)

A comparison of the best requirements management tools - DOORS, Jama, Polarion, codebeamer and Reqi - what to look for, and how to choose the right one for your team.

Young engineering team planning the future of systems engineering
Systems Engineering

INCOSE SE Vision 2035: What It Means for Engineers

INCOSE's Systems Engineering Vision 2035 says the future of SE is model-based and digitally transformed. Its key themes - MBSE, digital engineering, AI, sustainability - explained.

Engineer in an industrial control room
Safety and Hazards

Designing Safe AND Secure Cyber-Physical Systems

In connected systems a security breach can become a safety failure. How to engineer safety and security together: IEC 62443, ISO 21434 and TARA.

Engineers in a hardware test lab
Model Based System Engineering (MBSE)

Shift-Left Verification with Executable Models & Digital Twins

Shift-left verification uses executable models, simulation and digital twins to test requirements early — catching defects while they are cheap to fix.

Analyst reviewing a document at a cafe desk
AI and Machine learning

Using LLMs to Write & Review Requirements: A Practical Guide

How to use large language models to draft, quality-check and de-conflict requirements — what they are good at, and the real risks to manage.

Old blueprint beside a modern laptop
Model Based System Engineering (MBSE)

What Is Digital Engineering? (And How It Differs from MBSE)

Digital engineering uses authoritative models and data across the whole lifecycle. What it is, how it differs from MBSE, and the ecosystem behind it.

Colleagues mapping links on a whiteboard
Model Based System Engineering (MBSE)

The Digital Thread in Systems Engineering, Explained

What the digital thread is, how it differs from a digital twin, why MBSE is its backbone, and how to start connecting requirements, design and test.

Engineer working at a quiet desk
AI and Machine learning

AI in MBSE: How AI Co-Pilots Are Changing Systems Modelling

How AI is changing model-based systems engineering: MBSE co-pilots that draft model elements, check consistency and validate continuously.

Digital Twins with Systems Engineering: Unlocking the Potential
Systems Engineering

Digital Twins in Systems Engineering: A Digital Revolution

A digital twin is a live virtual model of a physical system, fed real-world data. How they differ from simulation, and their uses in systems engineering.

Professional engineer examining a large diagram of integrated systems
Requirements

Understanding the Differences Between Functional and Non-functional Requirements

20 paired functional and non-functional requirements examples across five domains, plus a 4-question test to tell which type a requirement is.

RAM
RAMS

Unravelling Reliability, Maintainability, and Availability (RAM)

RAM stands for Reliability, Availability and Maintainability — the three properties that decide whether a system can be depended on, and how they connect.