VectorCAST 2026 introduces AI-powered Requirements-Based Test Creator (Image rights: Vector Informatik GmbH)
Vector Informatik has released VectorCAST 2026, the latest version of its embedded software test automation platform, introducing an AI-powered Requirements Based Test Creator. The new functionality enables organizations to generate unit tests directly from software requirements, improving traceability, streamlining certification and quality assurance in safety-critical systems.
Bridging software requirements and unit testing with AI-assisted automation
With the growing adoption of generative AI in software engineering, embedded development teams face both new opportunities and increased risk. While AI tools can automate repetitive tasks and improve productivity, their use in safety-critical environments requires controlled processes, transparent traceability, and effective human oversight. Without these safeguards, AI-generated artifacts can increase review effort and undermine software quality.
Against this backdrop, VectorCAST 2026 introduces a new AI-supported toolchain known as Reqs2x, which automates the creation of unit tests directly from software requirements. By combining intelligent code analysis with AI, Reqs2x bridges the gap between requirements and implementation, ensuring every function is thoroughly tested and traceable. Key capabilities of Reqs2x include:
- Automatic Requirement Mapping: Reqs2x automatically maps requirements to the functions that implement them, streamlining test creation processes. Requirements can be imported from common management tools such as DOORS, Polarion, or CSV files via the Requirements Gateway.
- AI-Assisted Test Generation: Using program slicing and large language models (LLMs), VectorCAST generates executable test cases aligned with requirement specifications, reducing manual effort while maintaining traceability.
- Human-in-the-Loop Review: Generated mappings and test cases are designed for user review, ensuring compliance with safety and quality standards.
Ensuring traceability, compliance, and control in AI-assisted software testing
To address enterprise requirements for governance and data protection, VectorCAST 2026 empowers customers to select their preferred AI models. The Bring-Your-Own-Model (BYOM) approach supports on-premises, cloud, and hybrid infrastructures, giving organizations full control over data privacy, compliance, and cost. Vector provides simple configuration connectors, while customers operate and manage their own AI infrastructure.
Vector’s AI strategy is based on modular, task-specific micro-agents designed for precisely defined use cases within controlled contexts. This enables predictable behavior, simplifies validation, and supports alignment with industry standards such as MISRA C:2025, ISO/IEC AI frameworks, and the EU AI Act. AI-generated outputs are therefore subject to the same verification and quality controls as human-written code.
As part of Vector’s comprehensive software ecosystem, VectorCAST 2026 integrates into automated quality monitoring pipelines, enabling test automation results to be enriched with advanced analysis and reporting. Together, these capabilities support step level metrics, process level coverage, and meaningful quality indicators that provide lifecycle wide transparency and drive continuous improvement.
VectorCAST is used by leading organizations in aerospace, automotive, medical, industrial controls, and railway applications. With the 2026 release, Vector reinforces its focus on automated, AI&-assisted, and traceable embedded software testing to support certification and quality assurance in safety-critical systems. The Reqs2x feature is included at no additional cost for existing VectorCAST 2026 license holders.
More information at: Ai at Vector