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VectorCAST 2026 Adds AI Test Creator

Vector Informatik introduces AI-powered requirements-based test generation for safety-critical software.

  www.vector.com
VectorCAST 2026 Adds AI Test Creator

At the core of the release is Reqs2x, a new AI-supported toolchain that enables developers to generate unit tests directly from software requirements.

This approach bridges the gap between requirements and implementation, helping ensure:
  • Comprehensive test coverage
  • Improved traceability
  • Reduced manual testing effort
Key capabilities of Reqs2x
Automatic requirement mapping
Reqs2x links requirements to corresponding software functions, with support for tools such as:
  • DOORS
  • Polarion
  • CSV-based inputs
AI-assisted test generation
Using program slicing and large language models (LLMs), the platform generates executable test cases aligned with specifications.

Human-in-the-loop validation
All AI-generated mappings and tests are designed for review and verification, ensuring compliance with safety standards.

Secure and flexible AI deployment
Vector Informatik supports a Bring-Your-Own-Model (BYOM) approach, allowing organizations to choose their preferred AI infrastructure:
  • On-premises
  • Cloud
  • Hybrid environments
This ensures data privacy, governance, and cost control for enterprise users.

Built for safety-critical environments
VectorCAST 2026 is designed to meet stringent industry standards, including:
  • MISRA C:2025
  • ISO/IEC AI frameworks
  • EU AI Act
The platform uses modular AI micro-agents to ensure predictable, controlled behavior and maintain alignment with certification requirements.

Integrated quality and lifecycle insights
As part of Vector’s broader ecosystem, VectorCAST integrates into automated pipelines to provide:
  • Step-level metrics
  • Process-level coverage
  • Advanced reporting and analytics
These capabilities enable continuous improvement and full lifecycle visibility for embedded software projects.

Supporting critical industries
Vector Informatik’s VectorCAST is widely used across:
  • Aerospace
  • Automotive
  • Medical devices
  • Industrial control systems
  • Rail applications
With the 2026 release, the company strengthens its focus on AI-assisted, automated, and traceable testing for safety-critical systems.

Edited by an industrial journalist Lekshman Ramdas, with AI assistance.

www.vector.com

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