AD 2026-02-01

Abstract

Session open to Dassault Systèmes Customers and Partners to share and discuss the strategy, solutions, roadmap, and feedback on CATIA solutions for Systems Engineering.

The rise of the software-defined product, the multidisciplinary complexity of systems, and the intensification of regulatory requirements within a sustainable and responsible engineering approach are driving a profound transformation of engineering methods, which could be described as a “new normal".

Dassault Systèmes will present how CATIA Systems supports this transition by leveraging a Model-Based Systems Engineering (MBSE) approach and the growing use of generative experiences to improve productivity and quality, while making systems engineering more accessible to new kind of audiences.

This session will present the solutions portfolio, the product roadmap, and use cases, particularly around SysML v2, agile software integration and governance, and Generative AI.

Speakers

Guillaume Belloncle

CATIA MBSE Strategic Engagements Director

Arnaud Durantin

CATIA Systems R&D Roles Portfolio Director

Presentation

Dassault Systèmes Strategy Update

VIRTUAL TWIN	EXPERIENCE	GENERATIVE EXPERIENCE	VIRTUAL COMPANION	CYCLE OF LIFE	SENSE COMPUTING	KNOWLEGE & KNOW-HOW PLATFORM
Example V+R Twin for Operation & Support	Example Battery Systems Experience	Example ASPICE Generative Experience	Example CATIA Magic Virtual Companion	Example CATIA Magic for Circularity by DESIGNStudio	Example UX & HMI Sense Computing	Example Platform for Systems & Software

Systems Engineering Key Challenges & Value Proposition

https://www.3ds.com/products/catia/scilab

https://gitlab.com/scilab

CATIA Solutions Key Highlights and Strategic Investments

The strategic investment of CATIA Cyber Systems for MBSE Evolution is presented on the following image.
On the left, we reinforce domain extension and governance, ensuring MBSE as a single source of truth and a collaborative platform. Then we elevate the language to other discipline domains like Electrical, Electronics and Software or safety and cyber security to enable the design continuity between those disciplines. Last but not least, we use system model as a governance model for discipline design.
On the right, we move toward semantic elevation, with AI-driven generative experiences, extended modeling semantics, and built-in static and dynamic simulations. Together, these capabilities enable more consistent, intelligent, and scalable system engineering across the full lifecycle.

Our portfolio aligned with our referential provides a solution to each discipline in modeling MOD and simulation SIM domains

Domain Elevation with CATIA Magic as a platform

Electrical, Electronic & Software Architecture

Design Service-Oriented Architectures

Design Hardware & Software Topology
Allocate Software to Hardware
Define the Communication matrix
Optimize

Generate Software Architectures

From Code to Model
From Model to Code
Traced to binary
Allocated to Physical Models

Model-based Safety & cybersecurity

Extension of the system model embedding safety and cybersecurity elements

Compliance with modeling standards : SysML and RAAML

Model-Based Safety	Moel-Based Cybersecurity
Key Concepts: Hazard Analysis & Risk Assessment Failure Mode and Effect Analysis Safety Concept Standard Compliance : RAAML based solutions Automotive ISO26262 support Automotive SAE J1739 support	Key Concepts: Threat Analysis & Risk Assessment Attack Path Analysis Security Concept Integration of security libraries such as MITRE ATT&CK, MITRE CWE and NIST security controls Standard Compliance : RAAML based solutions Automotive ISO21434 support A&D DO326 support

Model-Based Safety

Moel-Based Cybersecurity

Key Concepts:

Hazard Analysis & Risk Assessment
Failure Mode and Effect Analysis
Safety Concept

Standard Compliance :

RAAML based solutions
Automotive ISO26262 support
Automotive SAE J1739 support

Key Concepts:

Threat Analysis & Risk Assessment
Attack Path Analysis
Security Concept
Integration of security libraries such as MITRE ATT&CK, MITRE CWE and NIST security controls

Standard Compliance :

RAAML based solutions

Automotive ISO21434 support

A&D DO326 support

MBSE governance for detailed design disciplines: Mechanical, Electrical…

We provide a governance framework built on four main pillars.

The first pillar is lifecycle management , including dataset status management. Effective lifecycle management ensures consistent configurations, controlled versioning, and seamless integration across domains. It helps prevent silos and fosters collaboration among teams working on different aspects of the system. One of the key challenges of this pillar is accommodating the different data management practices across disciplines—such as hardware design, software design, and system engineering—while ensuring that shared data remains aligned and coherent.
The second pillar, Continuous Integration and Simulation , focuses on the continuous integration of system architectures, the management of executable models, and the use of cloud-based simulation for iterative validation. This process-driven approach enables early detection of issues, continuous verification of system behavior, and improved adaptability to change throughout the lifecycle.
The third pillar, traceability and analytics , ensures transparency and accountability across system development. It establishes structured links between requirements, design, implementation, and testing, enabling efficient impact analysis. The integration of data analytics further supports informed decision-making by highlighting trends, risks, and coverage gaps.
Finally, program execution addresses project planning, risk and issue management, and the alignment of program activities with multidisciplinary models. This pillar provides the governance mechanisms required to capture and justify program decisions, ensuring controlled and predictable execution.